J-Express: exploring gene expression data using Java. Export

@article{citeulike:2925252, abstract = {J-Express is a Java application that allows the user to analyze gene expression (microarray) data in a flexible way giving access to multidimensional scaling, clustering, and visualization methods in an integrated manner. Specifically, J-Express includes implementations of hierarchical clustering, k-means, principal component analysis, and self-organizing maps. At present, it does not include methods for comparing two or more experiments for differentially expressed genes. The application is completely portable and requires only that a Java runtime environment 1.2 is installed on the system. Its efficiency allows interactive clustering of thousands of expression profiles on standard personal computers.}, address = {Department of Informatics, University of Bergen, HIB, N5020 Bergen, Norway.}, author = {Dysvik, B. and Jonassen, I.}, citeulike-article-id = {2925252}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/11301307}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=11301307}, issn = {1367-4803}, journal = {Bioinformatics (Oxford, England)}, keywords = {01, express}, month = {April}, number = {4}, pages = {369--370}, posted-at = {2008-07-22 14:41:56}, priority = {2}, title = {J-Express: exploring gene expression data using Java.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11301307}, volume = {17}, year = {2001} }

TY - JOUR ID - citeulike:2925252 L3 - citeulike-article-id:2925252 N2 - J-Express is a Java application that allows the user to analyze gene expression (microarray) data in a flexible way giving access to multidimensional scaling, clustering, and visualization methods in an integrated manner. Specifically, J-Express includes implementations of hierarchical clustering, k-means, principal component analysis, and self-organizing maps. At present, it does not include methods for comparing two or more experiments for differentially expressed genes. The application is completely portable and requires only that a Java runtime environment 1.2 is installed on the system. Its efficiency allows interactive clustering of thousands of expression profiles on standard personal computers. IS - 4 JF - Bioinformatics (Oxford, England) SN - 1367-4803 AD - Department of Informatics, University of Bergen, HIB, N5020 Bergen, Norway. EP - 370 TI - J-Express: exploring gene expression data using Java. VL - 17 SP - 369 KW - 01 KW - express AU - Dysvik, B AU - Jonassen, I PY - 2001/04// UR - http://view.ncbi.nlm.nih.gov/pubmed/11301307 ER -