<p>A: Expression profiles of the transcripts with positive or negative component score values higher than 3. Each single line represents the average of mean-centered expression values for an individual transcript. B: Functional categories over-represented in each cluster. Color code is the same as in A. Absolute values of the log<sub>10</sub> transformed <i>P</i>-values were used for the bar diagram representing statistical signification, only categories with <i>P</i>-values <0.05 were shown.</p
<p>Samples indicated in red and blue relate, respectively, to the oxic and the anoxic zone. Differen...
<p><b>A</b> A three-dimensional visualisation of a Pearson correlation gene to gene network graph (<...
<p>PCA was performed independently for both datasets. First principal component (PC1) is shown on x-...
<p>A: Expression profiles of the transcripts with positive or negative component score values higher...
<p>The clustering represents the overall expression pattern of significantly regulated mRNAs at FDR ...
<p>Single factor hierarchical clustering of expression profiles; red indicates increased expression,...
<p>(A) Transcripts with differential expression levels under different experimental treatments compa...
<p>A. PCA summary score for MPSP indices. B. PCA summary score for infant temperament indices. In ea...
<p>A principal component analysis was performed on the 12 blood transcriptome data sets which remain...
<p>(A) Genes of <i>M.m</i> were grouped according to their homologs in <i>M.tb</i>. Numbers on the x...
<p>Principal components analysis was performed on time course gene expression profiling data. The fi...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>Schematic compares several approaches to gene expression profiling data. Gene expression levels f...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>Samples indicated in red and blue relate, respectively, to the oxic and the anoxic zone. Differen...
<p><b>A</b> A three-dimensional visualisation of a Pearson correlation gene to gene network graph (<...
<p>PCA was performed independently for both datasets. First principal component (PC1) is shown on x-...
<p>A: Expression profiles of the transcripts with positive or negative component score values higher...
<p>The clustering represents the overall expression pattern of significantly regulated mRNAs at FDR ...
<p>Single factor hierarchical clustering of expression profiles; red indicates increased expression,...
<p>(A) Transcripts with differential expression levels under different experimental treatments compa...
<p>A. PCA summary score for MPSP indices. B. PCA summary score for infant temperament indices. In ea...
<p>A principal component analysis was performed on the 12 blood transcriptome data sets which remain...
<p>(A) Genes of <i>M.m</i> were grouped according to their homologs in <i>M.tb</i>. Numbers on the x...
<p>Principal components analysis was performed on time course gene expression profiling data. The fi...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>Schematic compares several approaches to gene expression profiling data. Gene expression levels f...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>Samples indicated in red and blue relate, respectively, to the oxic and the anoxic zone. Differen...
<p><b>A</b> A three-dimensional visualisation of a Pearson correlation gene to gene network graph (<...
<p>PCA was performed independently for both datasets. First principal component (PC1) is shown on x-...