Setac 2008 Genespring Ppt.

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bioinformatics using GeneSpring GX10

Expertise in Gene Discovery, Microarray Development and Bioinformatics SETAC 29 th Annual Meeting November 16th-20th Tampa, FL EcoArray, Inc. www.ecoarray.com

EcoArray Bioinformatics ,[object Object],[object Object],[object Object],[object Object],[object Object]

GeneSpring GX ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Boxplots

Principal components analysis (PCA) Quality control

Histograms

Filter by Expression

Multiple pair-wise comparison Volcano plot ANOVA Venn Diagram

Basic/Advanced Statistics Now what? We can do the analysis for you . Advanced Basic ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(optional) ,[object Object],[object Object],[object Object],[object Object]

Fold Changes >=2.0

Fold Changes >=2.0

Cluster Analysis ,[object Object],[object Object],[object Object],[object Object],Uncover interesting patterns

Prediction Model Goal: To build a robust model to predict known phenotypic samples from gene expression data. unknown sample Predict gene expression characteristics

Building a Prediction Model 1) Validate , 2) Train, 3) Classify ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

GeneSpring GX network builder 1) Right click on edge, Source of supporting literature (ie.PubMed) 2) Locate sentence(s),

Confusion matrix Prediction results

Plug-in databases

Expertise in Gene Discovery, Microarray Development and Bioinformatics EcoArray, Inc. www.ecoarray.com Heather R. Hammers (Bioinformatician/Scientist) [email_address]

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

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1. Expertise in Gene Discovery, Microarray Development and Bioinformatics SETAC 29 th Annual Meeting November 16th-20th Tampa, FL EcoArray, Inc. www.ecoarray.com

2.

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5. Principal components analysis (PCA) Quality control

7. Profile and Scatter Plots

8. Filter by Expression

9. Multiple pair-wise comparison Volcano plot ANOVA Venn Diagram

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11. Fold Changes >=2.0

12. Fold Changes >=2.0

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15. Prediction Model Goal: To build a robust model to predict known phenotypic samples from gene expression data. unknown sample Predict gene expression characteristics

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17. GeneSpring GX network builder 1) Right click on edge, Source of supporting literature (ie.PubMed) 2) Locate sentence(s),

18. Confusion matrix Prediction results

19. Plug-in databases

20. Expertise in Gene Discovery, Microarray Development and Bioinformatics EcoArray, Inc. www.ecoarray.com Heather R. Hammers (Bioinformatician/Scientist) [email_address]