In each thumbnail, the green curve represents the evolution of the density of the genes identified in the RNA-seq. GSEA calculates these by walking down the ranked-ordered list of genes, increasing a running-sum statistic when a gene is in the gene set and decreasing it when it is not. (A) TNFRSF12A was found commonly in four gene sets (IL15_UP.V1_UP, MTOR_UP.V1_UP, IL2_UP.V1_UP and PKCA_DN.V1_DN) with high MMP-9 expression. (B) High TNFRSF12A was associated with poor prognosis in three independent cohorts (METABRIC, GSE1456, and GSE20685).</p
Motivation: Gene Set Enrichment Analysis (GSEA) has been develo-ped recently to capture changes in t...
<p>Differential gene expression was ranked by fold change. The most up-regulated genes are shown on ...
<p>A) Profile-1 (2568) and Profile-2 (2458) genes generated by PCA comparing day 21 to day 56 gene e...
Abstract: Gene set enrichment analysis (GSEA) is a statistical method to determine if predefined set...
<p>For Gene set enrichment analysis of signatures genes from BCBL1-K13 (top panel) and HUVEC-K13 (lo...
<p>Gene sets with an FDR <5% were included in this analysis. SIZE indicates the number of genes in b...
(A) Gene sets from the GSEA Immune Signatures Database (ImmuneSigDB) were used to interrogate log2FC...
<p>Gene set enrichment analysis (GSEA) of genes under positive regulation by NF90/NF110.</p
Motivation: Gene set enrichment analysis (GSEA) annotates gene microarray data with functional infor...
Among themanyapplicationsofmicroarray technology, oneof themost popular is the identificationof gene...
(GSEA) showing significantly (adjusted P-value < 0.05) modified pathways between all 4 exploration d...
<p>The input gene list was all genes in the microarray analysis ranked by –log10(p-value)×log2(fold ...
Motivation: Gene set enrichment (GSE) analysis allows researchers to efficiently extract biological ...
Although genome-wide RNA expression analysis has become a routine tool in biomedical research, extra...
<p>Gene set enrichment analysis (GSEA) of genes under negative regulation by NF90/NF110.</p
Motivation: Gene Set Enrichment Analysis (GSEA) has been develo-ped recently to capture changes in t...
<p>Differential gene expression was ranked by fold change. The most up-regulated genes are shown on ...
<p>A) Profile-1 (2568) and Profile-2 (2458) genes generated by PCA comparing day 21 to day 56 gene e...
Abstract: Gene set enrichment analysis (GSEA) is a statistical method to determine if predefined set...
<p>For Gene set enrichment analysis of signatures genes from BCBL1-K13 (top panel) and HUVEC-K13 (lo...
<p>Gene sets with an FDR <5% were included in this analysis. SIZE indicates the number of genes in b...
(A) Gene sets from the GSEA Immune Signatures Database (ImmuneSigDB) were used to interrogate log2FC...
<p>Gene set enrichment analysis (GSEA) of genes under positive regulation by NF90/NF110.</p
Motivation: Gene set enrichment analysis (GSEA) annotates gene microarray data with functional infor...
Among themanyapplicationsofmicroarray technology, oneof themost popular is the identificationof gene...
(GSEA) showing significantly (adjusted P-value < 0.05) modified pathways between all 4 exploration d...
<p>The input gene list was all genes in the microarray analysis ranked by –log10(p-value)×log2(fold ...
Motivation: Gene set enrichment (GSE) analysis allows researchers to efficiently extract biological ...
Although genome-wide RNA expression analysis has become a routine tool in biomedical research, extra...
<p>Gene set enrichment analysis (GSEA) of genes under negative regulation by NF90/NF110.</p
Motivation: Gene Set Enrichment Analysis (GSEA) has been develo-ped recently to capture changes in t...
<p>Differential gene expression was ranked by fold change. The most up-regulated genes are shown on ...
<p>A) Profile-1 (2568) and Profile-2 (2458) genes generated by PCA comparing day 21 to day 56 gene e...