Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Export

@article{citeulike:163580, abstract = {Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.}, author = {Golub, T. R. and Slonim, D. K. and Tamayo, P. and Huard, C. and Gaasenbeek, M. and Mesirov, J. P. and Coller, H. and Loh, M. L. and Downing, J. R. and Caligiuri, M. A. and Bloomfield, C. D. and Lander, E. S.}, citeulike-article-id = {163580}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.286.5439.531}, citeulike-linkout-1 = {http://www.sciencemag.org/content/286/5439/531.abstract}, citeulike-linkout-2 = {http://www.sciencemag.org/content/286/5439/531.full.pdf}, citeulike-linkout-3 = {http://www.sciencemag.org/cgi/content/abstract/286/5439/531}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/10521349}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=10521349}, citeulike-linkout-6 = {http://www.sciencemag.org/cgi/content/full/286/5439/531}, day = {15}, doi = {10.1126/science.286.5439.531}, issn = {0036-8075}, journal = {Science (New York, N.Y.)}, keywords = {analysis, basis, cancer, disease, ellstalk, expression, personalgenomics, prediction}, month = {October}, number = {5439}, pages = {531--537}, posted-at = {2008-07-10 23:05:57}, priority = {0}, title = {Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.}, url = {http://dx.doi.org/10.1126/science.286.5439.531}, volume = {286}, year = {1999} }

TY - JOUR ID - citeulike:163580 L3 - citeulike-article-id:163580 N2 - Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge. IS - 5439 JF - Science (New York, N.Y.) SN - 0036-8075 EP - 537 TI - Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. VL - 286 SP - 531 KW - analysis KW - basis KW - cancer KW - disease KW - ellstalk KW - expression KW - personalgenomics KW - prediction AU - Golub, TR AU - Slonim, DK AU - Tamayo, P AU - Huard, C AU - Gaasenbeek, M AU - Mesirov, JP AU - Coller, H AU - Loh, ML AU - Downing, JR AU - Caligiuri, MA AU - Bloomfield, CD AU - Lander, ES PY - 1999/10/15/ UR - http://dx.doi.org/10.1126/science.286.5439.531 ER -