'Multiple hypothesis testing' diaporamas de présentation

High throughput urine biomarker discovery and integrative analysis for translational medicine

High throughput urine biomarker discovery and integrative analysis for translational medicine. Bruce Ling, Ph.D. Biomarker .

975 views • 79 slides

Understanding P-values and Confidence Intervals

Understanding P-values and Confidence Intervals. Thomas B. Newman, MD, MPH. 20 Nov 08. Announcements. Optional reading about P-values and Confidence Intervals on the website Exam questions due Monday 11/24/08 5:00 PM Next week (11/27) is Thanksgiving

1.31k views • 37 slides

Introduction to Differential Expression Analysis

Introduction to Differential Expression Analysis. Microarray Experiment Steps. Biological question. Experimental design. Microarray experiment. Database. Data Analysis. Biological verification and interpretation. Most Common Types of Data Analysis.

542 views • 36 slides

An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus

An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus. Chirag J. Patel et al., PLoS One, May 2010. First, some context. Hypothesis-driven vs. data-driven research Tension between these two forms of research crosses all scientific disciplines

444 views • 28 slides

Multiple Testing in the Survival Analysis of Microarray Data

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Multiple Testing in the Survival Analysis of Microarray Data

388 views • 27 slides

Hypothesis Testing: Two -Sample Inference

Hypothesis Testing: Two -Sample Inference. power of the test = 1 ? Pr (type II error). power >= 80% is required. Home Work/Due Mon. 11.6, paper.

268 views • 26 slides

Regression II Model Selection

Regression II Model Selection. Model selection based on t-distribution Information criteria Cross-validation. Introduction.

226 views • 21 slides

Microarray Pitfalls

Microarray Pitfalls. Stem Cell Network Microarray Course, Unit 3 October 2006. Goals. To provide some guidelines on Affymetrix microarrays: How to use them How not to use them Things to keep in mind when designing experiments and analyzing data

367 views • 16 slides

Planning experiments in genomics and transcriptomics

Planning experiments in genomics and transcriptomics. Daniel Hurley. Introduction: some general thoughts. Here we will talk about general principles for planning experiments

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Why multiple tests are a problem?

304 views • 14 slides

Final Project Week 3 - 5/7/09 GSEA and Cluster Computing in Protein Research Leon Kay, Yan Tran,

Final Project Week 3 - 5/7/09 GSEA and Cluster Computing in Protein Research Leon Kay, Yan Tran, Chris Thomas. Leon. Chris. Yan. Gary. Gene Set Enrichment Analysis.

237 views • 10 slides

Diane K. Wysowski, Ph.D. Office of Drug Safety FDA

260 views • 5 slides