<p>A) Ranked canonical correlations between RNA expression and protein expression, compared with random permutations. Each gray line shows the computed canonical correlations for a single random permutation. The first observed canonical correlation exceeds all corresponding permuted values, and the second canonical correlation exceeds 99% of permuted values; both are considered statistically significant. B) Scatter plot of first canonical variable between RNA and protein expression for 199 gene/protein pairs with a correlation coefficient of 0.44.</p
Discovering genetic associations between genetic markers and gene expression levels can provide insi...
MotivationCapturing association patterns in gene expression levels under different conditions or tim...
P dummy variables, obtained from a CCA component pair containing 50 variables each.<p><b>Copyright i...
International audienceBiological data produced by high throughput technologies are becoming more and...
Digital transcriptome analysis by next-generation sequencing discovers substantial mRNA variants. Va...
, and (b) the average canonical correlation.<p><b>Copyright information:</b></p><p>Taken from "Penal...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
Abstract Background We generalized penalized canonical correlation analysis for analyzing microarray...
<p>Correlation analysis of gene expression profiles between the biological triplicates.</p
<p>(A) Histogram of correlation coefficients for individual miRNAs measured by miRNA-Seq and miRNA a...
<p>(A) Dynamic changes in expression profiles of protein-coding genes and lncRNAs. The top panel sho...
Correlation between RNA-Seq and qRT-PCR data of selected genes from the list of the up regulated tra...
RNA-sequencing (RNA-seq) technology is a high-throughput next-generation sequencing procedure. It al...
Discovering genetic associations between genetic markers and gene expression levels can provide insi...
(A) Representative null comparisons of the biological replicates show very high reproducibility (r ≈...
Discovering genetic associations between genetic markers and gene expression levels can provide insi...
MotivationCapturing association patterns in gene expression levels under different conditions or tim...
P dummy variables, obtained from a CCA component pair containing 50 variables each.<p><b>Copyright i...
International audienceBiological data produced by high throughput technologies are becoming more and...
Digital transcriptome analysis by next-generation sequencing discovers substantial mRNA variants. Va...
, and (b) the average canonical correlation.<p><b>Copyright information:</b></p><p>Taken from "Penal...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
Abstract Background We generalized penalized canonical correlation analysis for analyzing microarray...
<p>Correlation analysis of gene expression profiles between the biological triplicates.</p
<p>(A) Histogram of correlation coefficients for individual miRNAs measured by miRNA-Seq and miRNA a...
<p>(A) Dynamic changes in expression profiles of protein-coding genes and lncRNAs. The top panel sho...
Correlation between RNA-Seq and qRT-PCR data of selected genes from the list of the up regulated tra...
RNA-sequencing (RNA-seq) technology is a high-throughput next-generation sequencing procedure. It al...
Discovering genetic associations between genetic markers and gene expression levels can provide insi...
(A) Representative null comparisons of the biological replicates show very high reproducibility (r ≈...
Discovering genetic associations between genetic markers and gene expression levels can provide insi...
MotivationCapturing association patterns in gene expression levels under different conditions or tim...
P dummy variables, obtained from a CCA component pair containing 50 variables each.<p><b>Copyright i...