Disease related gene expression data representing the differential between either diseased to healthy or pretreated to post-treated samples for either CD or UC were assembled. Also assembled was a gene expression signature library representing various pathways or cell types. Gene set variation analysis (GSVA) was then applied to generate an enrichment score (ES) matrix in each disease which then underwent general linear model-based clustering to enable interpretation.</p
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
<p>Column indicates H9 and P50 strains, row represent a gene. Expression levels are shown in differe...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
Single cell data across multiple cell types in a given tissue are firstly imputed by SAVER-X and the...
Background: In the study of complex diseases using genome-wide expression data from clinical samples...
<p>Schematic compares several approaches to gene expression profiling data. Gene expression levels f...
<p>Three major steps are included as follows. First, one has to select a gene set containing transcr...
From Statistical Methods for Omics Data Integration and Analysis 2015 - Valencia, Spain. 14-16 Septe...
Gene expression and DNA methylation profiles were averaged over 25,000 nucleotide regions. Gene expr...
<p><b>A.</b> Clustering of self-organizing maps was done to analyze gene expression of proteases, ES...
<p>The figure shows the differential gene expression analysis performed within each level of the stu...
<p>Differential gene expression between infective endocarditis (IE) and control patients was analyze...
<p>A total of 38750 clustered genes were used for analysis. Among them, 2861 genes expressed in all ...
<p>This chart is used for our classification of variants in solid tumor samples. VAF: Variant allele...
<p><a href="http://en.wikipedia.org/w/index.php?title=Heatmap" target="_blank">Heatmap</a> Each colu...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
<p>Column indicates H9 and P50 strains, row represent a gene. Expression levels are shown in differe...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
Single cell data across multiple cell types in a given tissue are firstly imputed by SAVER-X and the...
Background: In the study of complex diseases using genome-wide expression data from clinical samples...
<p>Schematic compares several approaches to gene expression profiling data. Gene expression levels f...
<p>Three major steps are included as follows. First, one has to select a gene set containing transcr...
From Statistical Methods for Omics Data Integration and Analysis 2015 - Valencia, Spain. 14-16 Septe...
Gene expression and DNA methylation profiles were averaged over 25,000 nucleotide regions. Gene expr...
<p><b>A.</b> Clustering of self-organizing maps was done to analyze gene expression of proteases, ES...
<p>The figure shows the differential gene expression analysis performed within each level of the stu...
<p>Differential gene expression between infective endocarditis (IE) and control patients was analyze...
<p>A total of 38750 clustered genes were used for analysis. Among them, 2861 genes expressed in all ...
<p>This chart is used for our classification of variants in solid tumor samples. VAF: Variant allele...
<p><a href="http://en.wikipedia.org/w/index.php?title=Heatmap" target="_blank">Heatmap</a> Each colu...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
<p>Column indicates H9 and P50 strains, row represent a gene. Expression levels are shown in differe...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...