Semantic Scholar Open Access 2005 44058 sitasi

From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

A. Subramanian P. Tamayo V. Mootha Sayan Mukherjee B. Ebert +6 lainnya

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Abstrak

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 Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.

Topik & Kata Kunci

Computer Science

Penulis (11)

A. Subramanian

P. Tamayo

V. Mootha

Sayan Mukherjee

B. Ebert

Michael A. Gillette

A. Paulovich

S. Pomeroy

T. Golub

E. Lander

J. Mesirov

Format Sitasi

APA MLA BibTeX

Subramanian, A., Tamayo, P., Mootha, V., Mukherjee, S., Ebert, B., Gillette, M.A. et al. (2005). From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. https://doi.org/10.1073/PNAS.0506580102

Akses Cepat

Lihat di Sumber doi.org/10.1073/PNAS.0506580102

Informasi Jurnal

Tahun Terbit: 2005
Bahasa: en
Total Sitasi: 44058×
Sumber Database: Semantic Scholar
DOI: 10.1073/PNAS.0506580102
Akses: Open Access ✓