<p>Blue: PM; Grey: SAM; Red: RBM test statistic based permutation method; Orange: RBM -value based permutation method; Green: RBM test statistic based bootstrap method; Purple: RBM -value based bootstrap method. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0080099#pone-0080099-g002" target="_blank">Figure 2a:</a> sample size <i>n</i> = 4 in each group; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0080099#pone-0080099-g002" target="_blank">Figure 2b:</a> sample size <i>n</i> = 6 in each group; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0080099#pone-0080099-g002" target="_blank">Figure 2c:</a> sample size <i>n</i> = 12 in each group; <a href="http://www.plosone.org/a...
Robesets are used as true negatives, genes with FC of 1.2 are used as true positives, and no post-su...
Robesets are used as true negatives, genes with FC of 1.2 are used as true positives, and no post-su...
An objective of microarray data analysis is to identify gene expressions that are associated with a ...
<p>Blue: PM; Grey: SAM; Red: RBM test statistic based permutation method; Orange: RBM -value based p...
<p><i>π</i><sub>1</sub>: Proportion of differentially expressed genes.</p><p>TSBP: RBM Test statisti...
<p><i>π</i><sub>1</sub>: Proportion of differentially expressed genes.</p><p>TSBP: RBM Test statisti...
<p>Comparisons of the fluctuations between each nucleotide in the AAENM (black curves) and CGENM (gr...
<p>The fold changes of DE genes are estimated from real data. The columns correspond to the followin...
Motivation: The false discovery rate (FDR) provides a key statistical assessment formicroarray studi...
Background Gene expression analysis is an essential part of biological and medical investigations. Q...
<p><b>Copyright information:</b></p><p>Taken from "Utilization of two sample -test statistics from r...
Abstract: The recent development of DNA microarray technology allows us to measure simultaneously th...
Today we know that there are many genetically driven diseases and health conditions. These problems ...
<p>(a) and (b): for each of the 7,895 biological genes, gene-specific expression rate <i>μ</i><sub><...
The goal of many microarray studies is to identify genes that are differentially expressed between t...
Robesets are used as true negatives, genes with FC of 1.2 are used as true positives, and no post-su...
Robesets are used as true negatives, genes with FC of 1.2 are used as true positives, and no post-su...
An objective of microarray data analysis is to identify gene expressions that are associated with a ...
<p>Blue: PM; Grey: SAM; Red: RBM test statistic based permutation method; Orange: RBM -value based p...
<p><i>π</i><sub>1</sub>: Proportion of differentially expressed genes.</p><p>TSBP: RBM Test statisti...
<p><i>π</i><sub>1</sub>: Proportion of differentially expressed genes.</p><p>TSBP: RBM Test statisti...
<p>Comparisons of the fluctuations between each nucleotide in the AAENM (black curves) and CGENM (gr...
<p>The fold changes of DE genes are estimated from real data. The columns correspond to the followin...
Motivation: The false discovery rate (FDR) provides a key statistical assessment formicroarray studi...
Background Gene expression analysis is an essential part of biological and medical investigations. Q...
<p><b>Copyright information:</b></p><p>Taken from "Utilization of two sample -test statistics from r...
Abstract: The recent development of DNA microarray technology allows us to measure simultaneously th...
Today we know that there are many genetically driven diseases and health conditions. These problems ...
<p>(a) and (b): for each of the 7,895 biological genes, gene-specific expression rate <i>μ</i><sub><...
The goal of many microarray studies is to identify genes that are differentially expressed between t...
Robesets are used as true negatives, genes with FC of 1.2 are used as true positives, and no post-su...
Robesets are used as true negatives, genes with FC of 1.2 are used as true positives, and no post-su...
An objective of microarray data analysis is to identify gene expressions that are associated with a ...