Diagnosis of multiple cancer types by shrunken centroids of gene expression. Export

@article{citeulike:504897, abstract = {We have devised an approach to cancer class prediction from gene expression profiling, based on an enhancement of the simple nearest prototype (centroid) classifier. We shrink the prototypes and hence obtain a classifier that is often more accurate than competing methods. Our method of "nearest shrunken centroids" identifies subsets of genes that best characterize each class. The technique is general and can be used in many other classification problems. To demonstrate its effectiveness, we show that the method was highly efficient in finding genes for classifying small round blue cell tumors and leukemias.}, author = {Tibshirani, Robert and Hastie, Trevor and Narasimhan, Balasubramanian and Chu, Gilbert}, citeulike-article-id = {504897}, citeulike-linkout-0 = {http://dx.doi.org/10.1073/pnas.082099299}, citeulike-linkout-1 = {http://www.pnas.org/content/99/10/6567.full.abstract}, citeulike-linkout-2 = {http://www.pnas.org/content/99/10/6567.full.full.pdf}, citeulike-linkout-3 = {http://www.pnas.org/cgi/content/abstract/99/10/6567}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/12011421}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=12011421}, day = {14}, doi = {10.1073/pnas.082099299}, issn = {0027-8424}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, keywords = {analysis, classification, microarray}, month = {May}, number = {10}, pages = {6567--6572}, posted-at = {2007-05-25 01:06:30}, priority = {2}, title = {Diagnosis of multiple cancer types by shrunken centroids of gene expression.}, url = {http://dx.doi.org/10.1073/pnas.082099299}, volume = {99}, year = {2002} }

TY - JOUR ID - citeulike:504897 L3 - citeulike-article-id:504897 N2 - We have devised an approach to cancer class prediction from gene expression profiling, based on an enhancement of the simple nearest prototype (centroid) classifier. We shrink the prototypes and hence obtain a classifier that is often more accurate than competing methods. Our method of "nearest shrunken centroids" identifies subsets of genes that best characterize each class. The technique is general and can be used in many other classification problems. To demonstrate its effectiveness, we show that the method was highly efficient in finding genes for classifying small round blue cell tumors and leukemias. IS - 10 JF - Proceedings of the National Academy of Sciences of the United States of America SN - 0027-8424 EP - 6572 TI - Diagnosis of multiple cancer types by shrunken centroids of gene expression. VL - 99 SP - 6567 KW - analysis KW - classification KW - microarray AU - Tibshirani, Robert AU - Hastie, Trevor AU - Narasimhan, Balasubramanian AU - Chu, Gilbert PY - 2002/05/14/ UR - http://dx.doi.org/10.1073/pnas.082099299 ER -