Genomics Data Analysis: False Discovery Rates and Empirical Bayes Methods

ISBN-13: 9780367280369 / Angielski / Twarda / 2019 / 122 str.

David Bickel

Opis

The objective is to prepare students and scientists to analyze genomics data using empirical Bayes methods and to critically evaluate the statistical methods appearing in genomics articles. That is accomplished by providing the information needed for them to interpret p values for their current or future research.

Spis treści

1.Basic probability and statistics, 2. Introduction to likelihood, 3. False discovery rates, 4. Simulating and analyzing gene expression data, 5. Variations in dimension and data, 6. Correcting bias in estimates of the false discovery rate, 7. The L value: An estimated local false discovery rate to replace a p value, 8. Maximum likelihood and applications, Appendix A. Generalized Bonferroni correction derived from conditional compatibility, Appendix B. How to choose a method of hypothesis testing.