2006
DOI: 10.1093/bioinformatics/btl231
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Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles

Abstract: Versions are available in Octave and Java (with a graphical user interface). Software can be downloaded at http://people.genome.duke.edu/assess.

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Cited by 63 publications
(61 citation statements)
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“…These genes were compared with the genes included in other prognostic lung cancer signatures, such as Beer et al Biology of ES in lung adenocarcinoma. To deepen our investigation of the biological underpinnings of the ES phenotype, we applied previously validated approaches, including Gene Set Enrichment Analysis (21,22) and Analysis of Sample Set Enrichment Scores (19,20), to cell lines that constitute our 100-gene lung cancer-specific classifier. Elucidation of patterns of pathway activation specific to ES in lung adenocarcinoma revealed numerous biologically relevant features (Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…These genes were compared with the genes included in other prognostic lung cancer signatures, such as Beer et al Biology of ES in lung adenocarcinoma. To deepen our investigation of the biological underpinnings of the ES phenotype, we applied previously validated approaches, including Gene Set Enrichment Analysis (21,22) and Analysis of Sample Set Enrichment Scores (19,20), to cell lines that constitute our 100-gene lung cancer-specific classifier. Elucidation of patterns of pathway activation specific to ES in lung adenocarcinoma revealed numerous biologically relevant features (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Lung adenocarcinomas that share a common gene expression pattern with normal embryonic stem cells were associated with decreased survival, increased activation of oncogenic pathways, and increased likelihood of resistance to cisplatin, indicating the aggressiveness of these tumors. set enrichment for each sample in a gene expression data set (19,20). It expands on Gene Set Enrichment Analysis 9 (version 2.0), which is an analytic tool for relating gene expression data to gene sets to identify unifying biological themes (21,22).…”
Section: Translational Relevancementioning
confidence: 99%
“…Expression profiles are displayed using Treeview (32). Classification and clustering for pathway level analysis were performed by using gene sets ASSESS (Analysis of Sample Set Enrichment Scores), available on line (33). ASSESS provides a measure of enrichment of each gene set in each sample.…”
Section: Mammosphere Formation and Facs Analysis Of Stem Cellmentioning
confidence: 99%
“…GSEA was performed using GSEA 1.0 (http://www.broad.mit.edu/gsea/) (Subramanian et al, 2005). ASSESS (Edelman et al, 2006) was also employed.…”
Section: Dataset Analysismentioning
confidence: 99%
“…Using gene sets defined through various methods including experimental perturbations and literature-based studies, GSEA provides a pathway discovery tool. A variation on GSEA, termed ASSESS, allows a measure of enrichment of gene sets across multiple samples (Edelman et al, 2006).…”
Section: Introductionmentioning
confidence: 99%