<p>(A) Dynamic changes in expression profiles of protein-coding genes and lncRNAs. The top panel shows protein-coding genes and the bottom panel shows lncRNAs. Values represent the pairwise Pearson correlation. Correlation between every two samples was calculated by log<sub>2</sub>-transformed (FPKM+1) gene expression values. Three main expression patterns can be distinguished. (B) Distributions of Shannon entropy-based temporal specificity scores were calculated for distinct classes of lncRNAs and protein-coding genes.</p
<p>Correlation between gene expression patterns obtained through real-time PCR and microarray approa...
Functional gene research is an important issue in Post-genomic era. Microarray is used to generate l...
Current methods for the identification of putatively co-regulated genes directly from gene expressio...
<p>Distribution of the entropy values is shown for both Microarray and RNA-Seq datasets. Tissue-spec...
<p>(A) Time-series modules of protein-coding genes and lncRNAs. The top panel shows protein-coding g...
<p>A) Ranked canonical correlations between RNA expression and protein expression, compared with ran...
Abstract Background One of the challenges with modeling the temporal progression of biological signa...
Clustering time course gene expression data allows one to explore functional co-regulation of genes ...
<p><b>(A)</b> Comparison of absolute abundance values for the mRNA and protein expression data (all ...
<p>Panel A): super-critical state, Panel B): sub-critical state for barcode genes. The panels presen...
MotivationCapturing association patterns in gene expression levels under different conditions or tim...
<p>Fold changes of gene expression detected by RNA-Seq were plotted against the data of qRT-PCR. The...
<p>The Pearson's correlation coefficient from pair-wise comparison of expression levels of all (puta...
<p>Mean intensities are given in log<sub>2</sub> scale. (A) Pairwise protein expression and correspo...
Motivation: Time series expression experiments are an increasingly popular method for studying a wid...
<p>Correlation between gene expression patterns obtained through real-time PCR and microarray approa...
Functional gene research is an important issue in Post-genomic era. Microarray is used to generate l...
Current methods for the identification of putatively co-regulated genes directly from gene expressio...
<p>Distribution of the entropy values is shown for both Microarray and RNA-Seq datasets. Tissue-spec...
<p>(A) Time-series modules of protein-coding genes and lncRNAs. The top panel shows protein-coding g...
<p>A) Ranked canonical correlations between RNA expression and protein expression, compared with ran...
Abstract Background One of the challenges with modeling the temporal progression of biological signa...
Clustering time course gene expression data allows one to explore functional co-regulation of genes ...
<p><b>(A)</b> Comparison of absolute abundance values for the mRNA and protein expression data (all ...
<p>Panel A): super-critical state, Panel B): sub-critical state for barcode genes. The panels presen...
MotivationCapturing association patterns in gene expression levels under different conditions or tim...
<p>Fold changes of gene expression detected by RNA-Seq were plotted against the data of qRT-PCR. The...
<p>The Pearson's correlation coefficient from pair-wise comparison of expression levels of all (puta...
<p>Mean intensities are given in log<sub>2</sub> scale. (A) Pairwise protein expression and correspo...
Motivation: Time series expression experiments are an increasingly popular method for studying a wid...
<p>Correlation between gene expression patterns obtained through real-time PCR and microarray approa...
Functional gene research is an important issue in Post-genomic era. Microarray is used to generate l...
Current methods for the identification of putatively co-regulated genes directly from gene expressio...