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We began analyzing https://pmc.ncbi.nlm.nih.gov/articles/PMC1239896/, but it redirected us to https://pmc.ncbi.nlm.nih.gov/articles/PMC1239896/. The analysis below is for the second page.
Title[redir]:
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles - PMC
Description:
Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment ...
Title[redir]:
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles - PMC
Description:
Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment ...
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Keywords {🔍}
gene, sets, genes, data, gsea, set, doi, pubmed, google, scholar, expression, enrichment, analysis, pathway, list, information, biological, supporting, cancer, cell, method, outcome, site, significance, table, pmc, studies, results, enriched, lung, leadingedge, fdr, common, pathways, correlation, poor, ranked, study, correlated, fig, web, pnas, profiles, article, collection, significant, published, score, nes, ess,
Topics {✒️}
mitogen-activated protein kinase putative cis-regulatory element pmc beta search ignores gene-gene correlations clustering leading-edge subsets standard kolmogorov–smirnov statistic nutrient-sensing pathways involved single-gene analysis finds conventional single-gene analysis platform-independent desktop application leading-edge subsets consist preserves gene-gene correlations reflects tissue-specific expression supplementary materials included p53-mediated pathway distinct trna synthesis-related sets upstream cis motifs graphical user interface genomewide expression profiles cancer-related data sets regulatory-motif sets full mathematical description mrna expression profiles strong significant enrichment igf1 signaling pathways molecular signature database leading-edge subsets high scoring sets gene expression analysis leading-edge analysis biologically reasonable assessment single-gene analysis single gene analysis computationally derived cluster expression neighborhoods centered regulates gene expression additional themes emerge ras/mapk activation genes biologically important subset biologically informative sets diverse biological problems amino acid biosynthesis single-gene methods barely statistically significant leading-edge subset chemokine receptors expressed pnas web site female lymphoblastoid cells gene expression data leading-edge sets
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