Difference between revisions of "BIN-EXPR-Multiple testing"
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− | < | + | <li><b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.</li> |
− | + | <li><b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these.</li> | |
− | < | + | <li><b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].</li> |
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− | + | This unit builds on material covered in the following prerequisite units:<br /> | |
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*[[BIN-EXPR-DE|BIN-EXPR-DE (Discovering Differentially Expressed Genes)]] | *[[BIN-EXPR-DE|BIN-EXPR-DE (Discovering Differentially Expressed Genes)]] | ||
*[[FND-STA-Significance|FND-STA-Significance (Significance)]] | *[[FND-STA-Significance|FND-STA-Significance (Significance)]] | ||
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Latest revision as of 07:08, 25 September 2020
Multiple Testing and Significance
(Multiple testing problem. Concepts, Bonferroni correction and FDR)
Abstract:
Searching for significant effects in high-throughput experiments changes the statistical odds of finding highly unusual outcomes. This needs to be properly corrected, especially in situations like expression analysis where we observe tens of thousands of measurements simultaneously and need to determine which ones should be followed up on.
Objectives:
|
Outcomes:
|
Deliverables:
Prerequisites:
This unit builds on material covered in the following prerequisite units:
Contents
Evaluation
Evaluation: NA
Contents
Task:
- Read the introductory notes on multiple testing.
About ...
Author:
- Boris Steipe <boris.steipe@utoronto.ca>
Created:
- 2017-08-05
Modified:
- 2020-09-24
Version:
- 1.1
Version history:
- 1.1 Maintainance
- 1.0 First live version
- 0.1 First stub
This copyrighted material is licensed under a Creative Commons Attribution 4.0 International License. Follow the link to learn more.