flexgsea is a R package to do gene set enrichment analysis. Main advantages: Allows user defined functions. So you can use you favorite package for differential expression. Calculates significance by sample permutation. Parallelization using the foreach package. Can calculate normalized enrichment scores (NES) and significance based on that. Implements the weighted KS-like statistic. Latest version on Github: https://github.com/NKI-CCB/flexgsea-r
<p>Gene sets with an FDR <5% were included in this analysis. SIZE indicates the number of genes in b...
This paper discusses the problem of identifying differentially expressed groups of genes from a micr...
This paper discusses the problem of identifying dierentially ex-pressed groups of genes from a micro...
flexgsea is a R package to do gene set enrichment analysis. Main advantages: Allows user defined ...
ggsea is a R package to do gene set enrichment analysis [1]. Main advantages: Allows user defined...
Motivation: Gene set enrichment (GSE) analysis allows researchers to efficiently extract biological ...
<p>Functional enrichment analysis using a gene set enrichment analysis (GSEA).</p
Random Gene Set Enrichment Analysis (RGSEA) is an algorithm for measuring the similarities between s...
Gene set enrichment analysis is a popular approach for prioritising the biological processes perturb...
Motivation: Gene Set Enrichment Analysis (GSEA) has been develo-ped recently to capture changes in t...
Abstract Background Gene Set Enrichment Analysis (GSEA) is a computational method for the statistica...
Abstract: Gene set enrichment analysis (GSEA) is a statistical method to determine if predefined set...
a<p>Size, number of genes in gene set.</p>b<p>ES, enrichment score.</p>c<p>NES, normalized enrichmen...
Among themanyapplicationsofmicroarray technology, oneof themost popular is the identificationof gene...
Motivation: Gene Set Enrichment Analysis (GSEA) has been devel-oped recently to capture changes in t...
<p>Gene sets with an FDR <5% were included in this analysis. SIZE indicates the number of genes in b...
This paper discusses the problem of identifying differentially expressed groups of genes from a micr...
This paper discusses the problem of identifying dierentially ex-pressed groups of genes from a micro...
flexgsea is a R package to do gene set enrichment analysis. Main advantages: Allows user defined ...
ggsea is a R package to do gene set enrichment analysis [1]. Main advantages: Allows user defined...
Motivation: Gene set enrichment (GSE) analysis allows researchers to efficiently extract biological ...
<p>Functional enrichment analysis using a gene set enrichment analysis (GSEA).</p
Random Gene Set Enrichment Analysis (RGSEA) is an algorithm for measuring the similarities between s...
Gene set enrichment analysis is a popular approach for prioritising the biological processes perturb...
Motivation: Gene Set Enrichment Analysis (GSEA) has been develo-ped recently to capture changes in t...
Abstract Background Gene Set Enrichment Analysis (GSEA) is a computational method for the statistica...
Abstract: Gene set enrichment analysis (GSEA) is a statistical method to determine if predefined set...
a<p>Size, number of genes in gene set.</p>b<p>ES, enrichment score.</p>c<p>NES, normalized enrichmen...
Among themanyapplicationsofmicroarray technology, oneof themost popular is the identificationof gene...
Motivation: Gene Set Enrichment Analysis (GSEA) has been devel-oped recently to capture changes in t...
<p>Gene sets with an FDR <5% were included in this analysis. SIZE indicates the number of genes in b...
This paper discusses the problem of identifying differentially expressed groups of genes from a micr...
This paper discusses the problem of identifying dierentially ex-pressed groups of genes from a micro...
DOI
Add to ORKG