This document provides a high-level overview of sections 7.1-7.2 of Genomics Data Analysis: False Discovery Rates and Empirical Bayes Methods. Web page: Book for scientists interested in genomics, hypothesis testing, false discovery rates, and empirical Bayes method
With the advancement of high-throughput technologies, data and computing have become key components ...
Genome-wide association studies (GWAS) have been successful in identifying single nucleotide polymor...
The simultaneous testing of a large number of hypotheses in a genome scan, using individual threshol...
This document provides a high-level overview of section 7.3 of Genomics Data Analysis: False Discove...
This document provides a high-level overview of chapter 6 of Genomics Data Analysis: False Discovery...
This document consists of summaries of the chapters and appendices of Genomics Data Analysis: False ...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
In light of the vast amounts of genomic data that are now being generated, we propose a new measure,...
The goal of determining which of hundreds of thousands of SNPs are associated with disease poses one...
Histogram-based empirical Bayes methods developed for analyzing data for large numbers of genes, SNP...
Additional file 1: S1. Descriptive statistics of the number of screened features by BF, BH, BY, M1, ...
Importance of presenting the variability of the false discovery rate control Yi-Ting Lin and Wen-Chu...
The goal of many microarray studies is to identify genes that are differentially expressed between t...
Item does not contain fulltextThis paper presents an overview of the current state of the art in mul...
Case-control studies of genetic polymorphisms and gene-environment interactions are reporting large ...
With the advancement of high-throughput technologies, data and computing have become key components ...
Genome-wide association studies (GWAS) have been successful in identifying single nucleotide polymor...
The simultaneous testing of a large number of hypotheses in a genome scan, using individual threshol...
This document provides a high-level overview of section 7.3 of Genomics Data Analysis: False Discove...
This document provides a high-level overview of chapter 6 of Genomics Data Analysis: False Discovery...
This document consists of summaries of the chapters and appendices of Genomics Data Analysis: False ...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
In light of the vast amounts of genomic data that are now being generated, we propose a new measure,...
The goal of determining which of hundreds of thousands of SNPs are associated with disease poses one...
Histogram-based empirical Bayes methods developed for analyzing data for large numbers of genes, SNP...
Additional file 1: S1. Descriptive statistics of the number of screened features by BF, BH, BY, M1, ...
Importance of presenting the variability of the false discovery rate control Yi-Ting Lin and Wen-Chu...
The goal of many microarray studies is to identify genes that are differentially expressed between t...
Item does not contain fulltextThis paper presents an overview of the current state of the art in mul...
Case-control studies of genetic polymorphisms and gene-environment interactions are reporting large ...
With the advancement of high-throughput technologies, data and computing have become key components ...
Genome-wide association studies (GWAS) have been successful in identifying single nucleotide polymor...
The simultaneous testing of a large number of hypotheses in a genome scan, using individual threshol...
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