SlideShare una empresa de Scribd logo

Text mining for protein and small molecule relations

•Descargar como PPT, PDF•
•
Lars Juhl Jensen
Lars Juhl Jensen

BCB-Seminar, Charite, Berlin, Germany, Januar 19, 2006

EmpresarialesTecnología
1 de 21
Text mining for protein and small molecule relations Lars Juhl Jensen EMBL
Why?
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Entity recognition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Entity identification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object]
Identification of small molecules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Co-occurrence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object]
NLP ,[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Extraction of relations between protein and small molecules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Text mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Correlations ,[object Object],[object Object],[object Object],[object Object],[object Object]
Temporal trends
Buzzwords
Acknowledgments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you!

Recomendados

SALK seaside symposium
SALK seaside symposiumSALK seaside symposium
SALK seaside symposiumJING GU
 
Data integration: The STITCH database of protein-small molecule interactions
Data integration: The STITCH database of protein-small molecule interactionsData integration: The STITCH database of protein-small molecule interactions
Data integration: The STITCH database of protein-small molecule interactionsLars Juhl Jensen
 
Exploiting NLP for Digital Disease Informatics
Exploiting NLP for Digital Disease InformaticsExploiting NLP for Digital Disease Informatics
Exploiting NLP for Digital Disease InformaticsNigel Collier
 
Knowledge extraction in Web media: at the frontier of NLP, Machine Learning a...
Knowledge extraction in Web media: at the frontier of NLP, Machine Learning a...Knowledge extraction in Web media: at the frontier of NLP, Machine Learning a...
Knowledge extraction in Web media: at the frontier of NLP, Machine Learning a...Julien PLU
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databasesLars Juhl Jensen
 
Open access - making the most of biomedical literature mining
Open access - making the most of biomedical literature miningOpen access - making the most of biomedical literature mining
Open access - making the most of biomedical literature miningLars Juhl Jensen
 
Utilizing literature for biological discovery
Utilizing literature for biological discoveryUtilizing literature for biological discovery
Utilizing literature for biological discoveryLars Juhl Jensen
 
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...Lars Juhl Jensen
 

Recomendados

SALK seaside symposium
SALK seaside symposiumSALK seaside symposium
SALK seaside symposiumJING GU
 
Data integration: The STITCH database of protein-small molecule interactions
Data integration: The STITCH database of protein-small molecule interactionsData integration: The STITCH database of protein-small molecule interactions
Data integration: The STITCH database of protein-small molecule interactionsLars Juhl Jensen
 
Exploiting NLP for Digital Disease Informatics
Exploiting NLP for Digital Disease InformaticsExploiting NLP for Digital Disease Informatics
Exploiting NLP for Digital Disease InformaticsNigel Collier
 
Knowledge extraction in Web media: at the frontier of NLP, Machine Learning a...
Knowledge extraction in Web media: at the frontier of NLP, Machine Learning a...Knowledge extraction in Web media: at the frontier of NLP, Machine Learning a...
Knowledge extraction in Web media: at the frontier of NLP, Machine Learning a...Julien PLU
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databasesLars Juhl Jensen
 
Open access - making the most of biomedical literature mining
Open access - making the most of biomedical literature miningOpen access - making the most of biomedical literature mining
Open access - making the most of biomedical literature miningLars Juhl Jensen
 
Utilizing literature for biological discovery
Utilizing literature for biological discoveryUtilizing literature for biological discovery
Utilizing literature for biological discoveryLars Juhl Jensen
 
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...Lars Juhl Jensen
 
Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...Lars Juhl Jensen
 
Literature Mining and Systems Biology
Literature Mining and Systems BiologyLiterature Mining and Systems Biology
Literature Mining and Systems BiologyLars Juhl Jensen
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature miningLars Juhl Jensen
 
Applied text mining
Applied text miningApplied text mining
Applied text miningLars Juhl Jensen
 
Applied text mining
Applied text miningApplied text mining
Applied text miningLars Juhl Jensen
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature miningLars Juhl Jensen
 
Text mining and data integration
Text mining and data integrationText mining and data integration
Text mining and data integrationLars Juhl Jensen
 
Mining literature and medical records
Mining literature and medical recordsMining literature and medical records
Mining literature and medical recordsLars Juhl Jensen
 
Literature mining and large-scale data integration
Literature mining and large-scale data integrationLiterature mining and large-scale data integration
Literature mining and large-scale data integrationLars Juhl Jensen
 
STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...Lars Juhl Jensen
 
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological systemSystems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological systemLars Juhl Jensen
 
Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...Lars Juhl Jensen
 
Text mining
Text miningText mining
Text miningLars Juhl Jensen
 
Transcriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisTranscriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisLars Juhl Jensen
 
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsSystems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsLars Juhl Jensen
 
STRING: Large-scale data and text mining
STRING: Large-scale data and text miningSTRING: Large-scale data and text mining
STRING: Large-scale data and text miningLars Juhl Jensen
 
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effectsLarge-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effectsLars Juhl Jensen
 
Systems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systemsSystems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systemsLars Juhl Jensen
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and textLars Juhl Jensen
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databasesLars Juhl Jensen
 
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...Lars Juhl Jensen
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineLars Juhl Jensen
 

Más contenido relacionado

Similar a Text mining for protein and small molecule relations

Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...Lars Juhl Jensen
 
Literature Mining and Systems Biology
Literature Mining and Systems BiologyLiterature Mining and Systems Biology
Literature Mining and Systems BiologyLars Juhl Jensen
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature miningLars Juhl Jensen
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature miningLars Juhl Jensen
 
Text mining and data integration
Text mining and data integrationText mining and data integration
Text mining and data integrationLars Juhl Jensen
 
Mining literature and medical records
Mining literature and medical recordsMining literature and medical records
Mining literature and medical recordsLars Juhl Jensen
 
Literature mining and large-scale data integration
Literature mining and large-scale data integrationLiterature mining and large-scale data integration
Literature mining and large-scale data integrationLars Juhl Jensen
 
STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...Lars Juhl Jensen
 
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological systemSystems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological systemLars Juhl Jensen
 
Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...Lars Juhl Jensen
 
Transcriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisTranscriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisLars Juhl Jensen
 
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsSystems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsLars Juhl Jensen
 
STRING: Large-scale data and text mining
STRING: Large-scale data and text miningSTRING: Large-scale data and text mining
STRING: Large-scale data and text miningLars Juhl Jensen
 
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effectsLarge-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effectsLars Juhl Jensen
 
Systems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systemsSystems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systemsLars Juhl Jensen
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and textLars Juhl Jensen
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databasesLars Juhl Jensen
 

Similar a Text mining for protein and small molecule relations (20)

Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...Biological literature mining - from information retrieval to biological disco...
Biological literature mining - from information retrieval to biological disco...
 
Literature Mining and Systems Biology
Literature Mining and Systems BiologyLiterature Mining and Systems Biology
Literature Mining and Systems Biology
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature mining
 
Applied text mining
Applied text miningApplied text mining
Applied text mining
 
Applied text mining
Applied text miningApplied text mining
Applied text mining
 
Biomedical literature mining
Biomedical literature miningBiomedical literature mining
Biomedical literature mining
 
Text mining and data integration
Text mining and data integrationText mining and data integration
Text mining and data integration
 
Mining literature and medical records
Mining literature and medical recordsMining literature and medical records
Mining literature and medical records
 
Literature mining and large-scale data integration
Literature mining and large-scale data integrationLiterature mining and large-scale data integration
Literature mining and large-scale data integration
 
STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...STRING - Prediction of a functional association network for the yeast mitocho...
STRING - Prediction of a functional association network for the yeast mitocho...
 
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological systemSystems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
 
Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...Computational approaches to cell cycle analysis: Current research topics (tho...
Computational approaches to cell cycle analysis: Current research topics (tho...
 
Text mining
Text miningText mining
Text mining
 
Transcriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysisTranscriptomics and lexico-syntactic analysis
Transcriptomics and lexico-syntactic analysis
 
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systemsSystems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systems
 
STRING: Large-scale data and text mining
STRING: Large-scale data and text miningSTRING: Large-scale data and text mining
STRING: Large-scale data and text mining
 
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effectsLarge-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effects
 
Systems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systemsSystems biology: Bioinformatics on complete biological systems
Systems biology: Bioinformatics on complete biological systems
 
Large-scale integration of data and text
Large-scale integration of data and textLarge-scale integration of data and text
Large-scale integration of data and text
 
Integration of biomedical literature and databases
Integration of biomedical literature and databasesIntegration of biomedical literature and databases
Integration of biomedical literature and databases
 

Más de Lars Juhl Jensen

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...Lars Juhl Jensen
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineLars Juhl Jensen
 
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationExtract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationLars Juhl Jensen
 
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeNetwork visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeLars Juhl Jensen
 
STRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous dataSTRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous dataLars Juhl Jensen
 
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured textBiomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured textLars Juhl Jensen
 
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...Lars Juhl Jensen
 
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and CytoscapeNetwork Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and CytoscapeLars Juhl Jensen
 
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and textCellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and textLars Juhl Jensen
 
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Lars Juhl Jensen
 
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataSTRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataLars Juhl Jensen
 
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionTagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionLars Juhl Jensen
 
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and textNetwork Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and textLars Juhl Jensen
 
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactionsMedical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactionsLars Juhl Jensen
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textLars Juhl Jensen
 
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactionsMedical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactionsLars Juhl Jensen
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textLars Juhl Jensen
 
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationBiomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationLars Juhl Jensen
 

Más de Lars Juhl Jensen (20)

One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
 
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicineOne tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
 
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotationExtract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
 
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using CytoscapeNetwork visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
 
STRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous dataSTRING & STITCH : Network integration of heterogeneous data
STRING & STITCH : Network integration of heterogeneous data
 
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured textBiomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
 
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
 
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and CytoscapeNetwork Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
 
Cellular networks
Cellular networksCellular networks
Cellular networks
 
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and textCellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
 
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
 
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous dataSTRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
 
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognitionTagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
 
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and textNetwork Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
 
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactionsMedical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
 
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactionsMedical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
 
Cellular Network Biology
Cellular Network BiologyCellular Network Biology
Cellular Network Biology
 
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and textNetwork biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
 
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritizationBiomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
 

Último

Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524najka9823
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaoncallgirls2057
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationAnamaria Contreras
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessSeta Wicaksana
 
1911 Gold Corporate Presentation Apr 2024.pdf
1911 Gold Corporate Presentation Apr 2024.pdf1911 Gold Corporate Presentation Apr 2024.pdf
1911 Gold Corporate Presentation Apr 2024.pdfShaun Heinrichs
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfrichard876048
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Riya Pathan
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyotictsugar
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Pereraictsugar
 
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607dollysharma2066
 
Appkodes Tinder Clone Script with Customisable Solutions.pptx
Appkodes Tinder Clone Script with Customisable Solutions.pptxAppkodes Tinder Clone Script with Customisable Solutions.pptx
Appkodes Tinder Clone Script with Customisable Solutions.pptxappkodes
 
Chapter 9 PPT 4th edition.pdf internal audit
Chapter 9 PPT 4th edition.pdf internal auditChapter 9 PPT 4th edition.pdf internal audit
Chapter 9 PPT 4th edition.pdf internal auditNhtLNguyn9
 
Darshan Hiranandani [News About Next CEO].pdf
Darshan Hiranandani [News About Next CEO].pdfDarshan Hiranandani [News About Next CEO].pdf
Darshan Hiranandani [News About Next CEO].pdfShashank Mehta
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCRashishs7044
 
Fordham -How effective decision-making is within the IT department - Analysis...
Fordham -How effective decision-making is within the IT department - Analysis...Fordham -How effective decision-making is within the IT department - Analysis...
Fordham -How effective decision-making is within the IT department - Analysis...Peter Ward
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Kirill Klimov
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCRashishs7044
 
Cybersecurity Awareness Training Presentation v2024.03
Cybersecurity Awareness Training Presentation v2024.03Cybersecurity Awareness Training Presentation v2024.03
Cybersecurity Awareness Training Presentation v2024.03DallasHaselhorst
 

Último (20)

Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement Presentation
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful Business
 
1911 Gold Corporate Presentation Apr 2024.pdf
1911 Gold Corporate Presentation Apr 2024.pdf1911 Gold Corporate Presentation Apr 2024.pdf
1911 Gold Corporate Presentation Apr 2024.pdf
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdf
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyot
 
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Perera
 
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
 
Appkodes Tinder Clone Script with Customisable Solutions.pptx
Appkodes Tinder Clone Script with Customisable Solutions.pptxAppkodes Tinder Clone Script with Customisable Solutions.pptx
Appkodes Tinder Clone Script with Customisable Solutions.pptx
 
Chapter 9 PPT 4th edition.pdf internal audit
Chapter 9 PPT 4th edition.pdf internal auditChapter 9 PPT 4th edition.pdf internal audit
Chapter 9 PPT 4th edition.pdf internal audit
 
Darshan Hiranandani [News About Next CEO].pdf
Darshan Hiranandani [News About Next CEO].pdfDarshan Hiranandani [News About Next CEO].pdf
Darshan Hiranandani [News About Next CEO].pdf
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
 
Fordham -How effective decision-making is within the IT department - Analysis...
Fordham -How effective decision-making is within the IT department - Analysis...Fordham -How effective decision-making is within the IT department - Analysis...
Fordham -How effective decision-making is within the IT department - Analysis...
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
 
Cybersecurity Awareness Training Presentation v2024.03
Cybersecurity Awareness Training Presentation v2024.03Cybersecurity Awareness Training Presentation v2024.03
Cybersecurity Awareness Training Presentation v2024.03
 

Text mining for protein and small molecule relations