Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles.

@article{citeulike:1435685, abstract = {DNA microarrays have been widely applied to cancer transcriptome analysis; however, the majority of such data are not easily accessible or comparable. Furthermore, several important analytic approaches have been applied to microarray analysis; however, their application is often limited. To overcome these limitations, we have developed Oncomine, a bioinformatics initiative aimed at collecting, standardizing, analyzing, and delivering cancer transcriptome data to the biomedical research community. Our analysis has identified the genes, pathways, and networks deregulated across 18,000 cancer gene expression microarrays, spanning the majority of cancer types and subtypes. Here, we provide an update on the initiative, describe the database and analysis modules, and highlight several notable observations. Results from this comprehensive analysis are available at http://www.oncomine.org.}, address = {Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109-0940, USA.}, author = {Rhodes, D. R. and Kalyana-Sundaram, S. and Mahavisno, V. and Varambally, R. and Yu, J. and Briggs, B. B. and Barrette, T. R. and Anstet, M. J. and Kincead-Beal, C. and Kulkarni, P. and Varambally, S. and Ghosh, D. and Chinnaiyan, A. M. }, citeulike-article-id = {1435685}, issn = {1476-5586}, journal = {Neoplasia}, keywords = {omr}, month = {February}, number = {2}, pages = {166--180}, posted-at = {2007-12-04 11:55:37}, priority = {5}, title = {Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/17356713}, volume = {9}, year = {2007} }

TY - JOUR ID - citeulike:1435685 L3 - citeulike-article-id:1435685 N2 - DNA microarrays have been widely applied to cancer transcriptome analysis; however, the majority of such data are not easily accessible or comparable. Furthermore, several important analytic approaches have been applied to microarray analysis; however, their application is often limited. To overcome these limitations, we have developed Oncomine, a bioinformatics initiative aimed at collecting, standardizing, analyzing, and delivering cancer transcriptome data to the biomedical research community. Our analysis has identified the genes, pathways, and networks deregulated across 18,000 cancer gene expression microarrays, spanning the majority of cancer types and subtypes. Here, we provide an update on the initiative, describe the database and analysis modules, and highlight several notable observations. Results from this comprehensive analysis are available at http://www.oncomine.org. IS - 2 JF - Neoplasia SN - 1476-5586 AD - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109-0940, USA. EP - 180 TI - Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. VL - 9 SP - 166 KW - omr AU - Rhodes, DR AU - Kalyana-Sundaram, S AU - Mahavisno, V AU - Varambally, R AU - Yu, J AU - Briggs, BB AU - Barrette, TR AU - Anstet, MJ AU - Kincead-Beal, C AU - Kulkarni, P AU - Varambally, S AU - Ghosh, D AU - Chinnaiyan, AM PY - 2007/02// UR - http://view.ncbi.nlm.nih.gov/pubmed/17356713 ER -