Genomics data analysis : false discovery rates and empirical Bayes methods /: false discovery rates and empirical Bayes methods. (2019)
- Record Type:
- Book
- Title:
- Genomics data analysis : false discovery rates and empirical Bayes methods /: false discovery rates and empirical Bayes methods. (2019)
- Main Title:
- Genomics data analysis : false discovery rates and empirical Bayes methods
- Further Information:
- Note: David R. Bickel.
- Authors:
- Bickel, David R
- Contents:
- 1. Basic probability and statistics Biological background Probability distributions Probability functions Contingency tables Hypothesis tests and p values Bibliographical notes Exercises (PS1-PS3) 2. Introduction to likelihood Likelihood function defined Odds and probability: What’s the difference? Bayesian uses of likelihood Bibliographical notes Exercises (L1-L3) 3. False discovery rates Introduction Local false discovery rate Global and local false discovery rates Computing the LFDR estimate Bibliographical notes Exercises (L4; A-B) 4. Simulating and analyzing gene expression data Simulating gene expression with dice DE games Effects and Estimates (E&E) Under the hood: normal distributions Bibliographical notes Exercises (C-E; G1-G4) 5. Variations in dimension and data Introduction High-dimensional genetics Subclasses and superclasses Medium number of features Bibliographical notes Exercise (G5) 6. Correcting bias in estimates of the false discovery rate Why correct the bias in estimates of the false discovery rate? A misleading estimator of the false discovery rate 66 Corrected and re-ranked estimators of the local false discovery rate Application to gene expression data analysis Bibliographical notes Exercises (CFDR0-CFDR3) 7. The L value: An estimated local false discovery rate to replace a p value What if I only have one p value? Am I doomed? The L value to the rescue! The multiple-test L value Bibliographical notes Exercises (LV1-LV9) 8. Maximum likelihood and1. Basic probability and statistics Biological background Probability distributions Probability functions Contingency tables Hypothesis tests and p values Bibliographical notes Exercises (PS1-PS3) 2. Introduction to likelihood Likelihood function defined Odds and probability: What’s the difference? Bayesian uses of likelihood Bibliographical notes Exercises (L1-L3) 3. False discovery rates Introduction Local false discovery rate Global and local false discovery rates Computing the LFDR estimate Bibliographical notes Exercises (L4; A-B) 4. Simulating and analyzing gene expression data Simulating gene expression with dice DE games Effects and Estimates (E&E) Under the hood: normal distributions Bibliographical notes Exercises (C-E; G1-G4) 5. Variations in dimension and data Introduction High-dimensional genetics Subclasses and superclasses Medium number of features Bibliographical notes Exercise (G5) 6. Correcting bias in estimates of the false discovery rate Why correct the bias in estimates of the false discovery rate? A misleading estimator of the false discovery rate 66 Corrected and re-ranked estimators of the local false discovery rate Application to gene expression data analysis Bibliographical notes Exercises (CFDR0-CFDR3) 7. The L value: An estimated local false discovery rate to replace a p value What if I only have one p value? Am I doomed? The L value to the rescue! The multiple-test L value Bibliographical notes Exercises (LV1-LV9) 8. Maximum likelihood and applications Non-Bayesian uses of likelihood Empirical Bayes uses of likelihood Bibliographical notes Exercises (M1-M2) Appendix A. Generalized Bonferroni correction derived from conditional compatibility A non-Bayesian approach to testing single and multiple hypotheses Bibliographical notes Appendix B. How to choose a method of hypothesis testing Guidelines for scientists performing statistical hypothesis tests Bibliographical notes Appendix. Bibliography … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2019
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 572.860727
Genomics -- Statistical methods
Genomics -- Data processing
Bayesian statistical decision theory - Languages:
- English
- ISBNs:
- 9781000707090
9781000706918
9781000707007
9780429299308 - Related ISBNs:
- 9780367280369
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.460984
- Ingest File:
- 02_600.xml