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» Class discovery in gene expression data
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BMCBI
2007
146views more  BMCBI 2007»
13 years 7 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
BMCBI
2011
13 years 2 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems
Background: The Signal-to-Noise-Ratio (SNR) is often used for identification of biomarkers for two-class problems and no formal and useful generalization of SNR is available for m...
Yu-Shuen Tsai, Chin-Teng Lin, George C. Tseng, I-F...
BIOINFORMATICS
2005
60views more  BIOINFORMATICS 2005»
13 years 7 months ago
Biomarker discovery in microarray gene expression data with Gaussian processes
Wei Chu, Zoubin Ghahramani, Francesco Falciani, Da...
ADMA
2006
Springer
192views Data Mining» more  ADMA 2006»
13 years 11 months ago
GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
This work describes the use of a recently proposed technique
Wagner Rodrigo Weinert, Heitor S. Lopes