<p>The fold changes of DE genes are fixed at 1.5 (half of the DE genes are over-expressed and the other half are under-expressed). Other simulation settings are identical to those described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0120117#pone.0120117.g002" target="_blank">Fig. 2</a> legend.</p
<p>a) True integration-driven discovery rate (<i>t</i>IDR) versus levels of posterior probability of...
<p>A set of eleven genes with simulated read counts between 1 and 1024 in two-fold increments were a...
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of diff...
<p>The fold changes of DE genes are fixed at 1.2 (half of the DE genes are over-expressed and the ot...
<p>On each curve, we marked the position corresponding to a reported FDR of 10% with a cross. The fo...
When identifying differentially expressed genes between two conditions using human population RNA-se...
The ordinary-, penalized-, and bootstrap t-test, least squares and best linear unbiased prediction w...
Motivation: An important property of a valid method for testing for differential expression is that ...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>a) True integration-driven discovery rate (<i>t</i>IDR) versus levels of posterior probability of...
There is great current interest in using linkage disequilibrium (LD)-based genome screens to localiz...
Motivation: The standard approach for statistical inference in differential expression (DE) analyses...
In recent years, RNA-seq has become a very competitive alternative to microarrays. In RNA-seq experi...
Motivation: The false discovery rate (fdr) is a key tool for statistical assessment of differential ...
<p>a) True integration-driven discovery rate (<i>t</i>IDR) versus levels of posterior probability of...
<p>A set of eleven genes with simulated read counts between 1 and 1024 in two-fold increments were a...
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of diff...
<p>The fold changes of DE genes are fixed at 1.2 (half of the DE genes are over-expressed and the ot...
<p>On each curve, we marked the position corresponding to a reported FDR of 10% with a cross. The fo...
When identifying differentially expressed genes between two conditions using human population RNA-se...
The ordinary-, penalized-, and bootstrap t-test, least squares and best linear unbiased prediction w...
Motivation: An important property of a valid method for testing for differential expression is that ...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>a) True integration-driven discovery rate (<i>t</i>IDR) versus levels of posterior probability of...
There is great current interest in using linkage disequilibrium (LD)-based genome screens to localiz...
Motivation: The standard approach for statistical inference in differential expression (DE) analyses...
In recent years, RNA-seq has become a very competitive alternative to microarrays. In RNA-seq experi...
Motivation: The false discovery rate (fdr) is a key tool for statistical assessment of differential ...
<p>a) True integration-driven discovery rate (<i>t</i>IDR) versus levels of posterior probability of...
<p>A set of eleven genes with simulated read counts between 1 and 1024 in two-fold increments were a...
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of diff...