:: DESCRIPTION
ClassifyMM is an R package to classify hyperdiploidy status of multiple myeloma patients using gene expression profiles.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
:: DESCRIPTION
DNC-MIX models the distribution of the gene expression profile of a test sample as a mixture, with each component characterizing the expression levels in a class, and assigns a class label to each test sample
::DEVELOPER
Statistical Genetics and Bioinformatics Group
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Alexandridis, R., Lin, S., Irwin, M. (2004)
Class discovery and classification of tumor samples using mixture modeling of gene expression data.
Bioinformatics, 20, 2545-2552.
:: DESCRIPTION
PEER is a collection of Bayesian approaches to infer hidden determinants and their effects from gene expression profiles using factor analysis methods.
::DEVELOPER
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Stegle O, Parts L, Durbin R, Winn J.
A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies.
PLoS Comput Biol. 2010 May 6;6(5):e1000770. doi: 10.1371/journal.pcbi.1000770.
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses.
Stegle O, Parts L, Piipari M, Winn J, Durbin R.
Nat Protoc. 2012 Feb 16;7(3):500-7. doi: 10.1038/nprot.2011.457.
:: DESCRIPTION
The Tclass system was developed for gene expression profile-based tumor classification. The results indicate that the number of genes for early detection of breast cancer is less than 10.
::DEVELOPER
Center of Computational Biology, Beijing Institute of Basic Medical Sciences
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Li WJ, Xiong MM:
Tclass: tumor classification system based on gene expression profile.
Bioinformatics 2002, 18:325-326
:: DESCRIPTION
SamCluster is an integrated scheme and corresponding program for automatic discovery of sample classes based on gene expression profile.
::DEVELOPER
Center of Computational Biology, Beijing Institute of Basic Medical Sciences
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Bioinformatics. 2003 May 1;19(7):811-7.
SamCluster: an integrated scheme for automatic discovery of sample classes using gene expression profile.
Li W, Fan M, Xiong M.
