<p>(A) The heatmap exhibits the four co-expression clusters of the LCGs. Bright red and blue represent co-expression value as 1 and -1, respectively. In each cluster, the gene order ranked based on the consensusNMF result. The four clusters are arranged by their temporal phases and named as the dawn, the day, the dusk, and the night clusters. (B) The number of genes per phase in the four liver clusters. The radial plot displays phases (h) on the circumference and the number of genes on the radius. (C) Standard deviations of the phase-associated genes (dawn, day, dusk, and night) of the liver among different time points are shown in different color-coded boxes (purple, orange, green and blue boxes, respectively). The genomic length (D), 3′-U...
<p>A two-step regression approach was used to identify clusters of differentially expressed genes wi...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
Background: A common approach for time series gene expression data analysis includes the clustering ...
Background: A common approach for time series gene expression data analysis includes the clustering ...
<p>(A) LCGs (red) and LNCGs (blue) in each expression category. All liver-expressed genes are ranked...
<p>(A) Time-series modules of protein-coding genes and lncRNAs. The top panel shows protein-coding g...
Clustering time course gene expression data allows one to explore functional co-regulation of genes ...
Summarization: Clustering analysis based on temporal profile of genes may provide new insights in pa...
<p>A) Graphic representation of a correlation matrix of genes based on expression profiles in contro...
Summarization: Statistical evaluation of temporal gene expression profiles plays an important role i...
<p>Bayesian cluster analysis of genes with ‘lipid metabolism’ gene ontology resulted in 6 clusters (...
<p>The heatmap shows the K-means clustering of transformed expression values for lncRNAs and mRNAs. ...
<p>Upper panel: Heatmaps showing mean expression data from 3 animals sacrificed at the same time poi...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
<p>A two-step regression approach was used to identify clusters of differentially expressed genes wi...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
Background: A common approach for time series gene expression data analysis includes the clustering ...
Background: A common approach for time series gene expression data analysis includes the clustering ...
<p>(A) LCGs (red) and LNCGs (blue) in each expression category. All liver-expressed genes are ranked...
<p>(A) Time-series modules of protein-coding genes and lncRNAs. The top panel shows protein-coding g...
Clustering time course gene expression data allows one to explore functional co-regulation of genes ...
Summarization: Clustering analysis based on temporal profile of genes may provide new insights in pa...
<p>A) Graphic representation of a correlation matrix of genes based on expression profiles in contro...
Summarization: Statistical evaluation of temporal gene expression profiles plays an important role i...
<p>Bayesian cluster analysis of genes with ‘lipid metabolism’ gene ontology resulted in 6 clusters (...
<p>The heatmap shows the K-means clustering of transformed expression values for lncRNAs and mRNAs. ...
<p>Upper panel: Heatmaps showing mean expression data from 3 animals sacrificed at the same time poi...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
<p>A two-step regression approach was used to identify clusters of differentially expressed genes wi...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
Background: A common approach for time series gene expression data analysis includes the clustering ...