<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...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<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...
Background Gene expression analysis is an essential part of biological and medical investigations. Q...
<p>The fold changes of DE genes are estimated from real data. The columns correspond to the followin...
<p>(A) Empirical (blue) and permutation-based (red) distributions of Pearson correlations from each ...
<p>We generated 300 DE genes out of 20,000 total genes for <i>m</i> = 4 conditions with different pa...
Motivation: The false discovery rate (FDR) provides a key statistical assessment formicroarray studi...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
Tions and compared to observed data. The experimental log intensity ratio distribution (broad green ...
<p>(a) and (b): for each of the 7,895 biological genes, gene-specific expression rate <i>μ</i><sub><...
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...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<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...
Background Gene expression analysis is an essential part of biological and medical investigations. Q...
<p>The fold changes of DE genes are estimated from real data. The columns correspond to the followin...
<p>(A) Empirical (blue) and permutation-based (red) distributions of Pearson correlations from each ...
<p>We generated 300 DE genes out of 20,000 total genes for <i>m</i> = 4 conditions with different pa...
Motivation: The false discovery rate (FDR) provides a key statistical assessment formicroarray studi...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
Tions and compared to observed data. The experimental log intensity ratio distribution (broad green ...
<p>(a) and (b): for each of the 7,895 biological genes, gene-specific expression rate <i>μ</i><sub><...
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...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...