Annotation Enrichment Analysis is a widely used analytical methodology to process data generated by high-throughput genomic and proteomic experiments such as gene expression microarrays. The analysis uncovers and summarizes discriminating background information for sets of genes identified by the previous processing stages (e.g., a set of differentially expressed genes, a cluster). Enrichment analysis algorithms attach annotations to the genes and then discover statistical fluctuations of individual annotation terms in a given gene subset. The annotation terms represent different aspects of biological knowledge and come from databases such as GO, BIND, KEGG. Typical statistical models used to detect enrichments or depletions of annotation t...
Gene set analysis, which translates gene lists into enriched functions, is among the most common bio...
Background: Enrichment analysis of gene expression data is essential to find functional groups of ge...
BackgroundThe advent of high-throughput experimental techniques paved the way to genome-wide computa...
MOTIVATION: Annotation Enrichment Analysis (AEA) is a widely used analytical approach to process dat...
Advanced statistical methods used to analyze high-throughput data (e.g. gene-expression assays) resu...
Translating the overwhelming amount of data generated in high-throughput genomics experiments into b...
One of the key research topics of post-genome study is annotation of the gene with regards to specif...
Abstract Quantitative proteomics now provides abundance ratios for thousands of proteins upon pertur...
<div><p>Resampling algorithms provide an empirical, non-parametric approach to determine the statist...
Background Gene function annotations, which are associations between a gene and a term of a control...
The emergence of high throughput data in genomic, proteomic and bioinformatics has increased the nec...
method integrating quantitative proteomics with complementary high-throughput data Juergen Cox*, Mat...
AbstractIn biology, the accumulation of raw experimental data has been accompanied by the accumulati...
Motivation: The ontological analysis of the gene lists obtained from DNA microarray experiments cons...
Experienced biocurators can outperform automated systems on specific genes once they determine which...
Gene set analysis, which translates gene lists into enriched functions, is among the most common bio...
Background: Enrichment analysis of gene expression data is essential to find functional groups of ge...
BackgroundThe advent of high-throughput experimental techniques paved the way to genome-wide computa...
MOTIVATION: Annotation Enrichment Analysis (AEA) is a widely used analytical approach to process dat...
Advanced statistical methods used to analyze high-throughput data (e.g. gene-expression assays) resu...
Translating the overwhelming amount of data generated in high-throughput genomics experiments into b...
One of the key research topics of post-genome study is annotation of the gene with regards to specif...
Abstract Quantitative proteomics now provides abundance ratios for thousands of proteins upon pertur...
<div><p>Resampling algorithms provide an empirical, non-parametric approach to determine the statist...
Background Gene function annotations, which are associations between a gene and a term of a control...
The emergence of high throughput data in genomic, proteomic and bioinformatics has increased the nec...
method integrating quantitative proteomics with complementary high-throughput data Juergen Cox*, Mat...
AbstractIn biology, the accumulation of raw experimental data has been accompanied by the accumulati...
Motivation: The ontological analysis of the gene lists obtained from DNA microarray experiments cons...
Experienced biocurators can outperform automated systems on specific genes once they determine which...
Gene set analysis, which translates gene lists into enriched functions, is among the most common bio...
Background: Enrichment analysis of gene expression data is essential to find functional groups of ge...
BackgroundThe advent of high-throughput experimental techniques paved the way to genome-wide computa...