Cluster analysis and display of genome-wide expression patterns Export

@article{citeulike:141840, abstract = {A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently.}, address = {Department of Genetics, Stanford University School of Medicine, 300 Pasteur Avenue, Stanford, CA 94305, USA.}, author = {Eisen, Michael B. and Spellman, Paul T. and Brown, Patrick O. and Botstein, David}, citeulike-article-id = {141840}, citeulike-linkout-0 = {http://dx.doi.org/10.1073/pnas.95.25.14863}, citeulike-linkout-1 = {http://www.pnas.org/content/95/25/14863.abstract}, citeulike-linkout-2 = {http://www.pnas.org/content/95/25/14863.full.pdf}, citeulike-linkout-3 = {http://www.pnas.org/cgi/content/abstract/95/25/14863}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/9843981}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=9843981}, day = {8}, doi = {10.1073/pnas.95.25.14863}, issn = {0027-8424}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, keywords = {analysis, cluster, display, functional\_inference, method, microarray, software}, month = {December}, number = {25}, pages = {14863--14868}, posted-at = {2008-10-12 12:35:27}, priority = {2}, title = {Cluster analysis and display of genome-wide expression patterns}, url = {http://dx.doi.org/10.1073/pnas.95.25.14863}, volume = {95}, year = {1998} }

TY - JOUR ID - citeulike:141840 L3 - citeulike-article-id:141840 N2 - A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently. IS - 25 JF - Proceedings of the National Academy of Sciences of the United States of America SN - 0027-8424 AD - Department of Genetics, Stanford University School of Medicine, 300 Pasteur Avenue, Stanford, CA 94305, USA. EP - 14868 TI - Cluster analysis and display of genome-wide expression patterns VL - 95 SP - 14863 KW - analysis KW - cluster KW - display KW - functional_inference KW - method KW - microarray KW - software AU - Eisen, Michael AU - Spellman, Paul AU - Brown, Patrick AU - Botstein, David PY - 1998/12/08/ UR - http://dx.doi.org/10.1073/pnas.95.25.14863 ER -