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BMCBI
2008
121views more  BMCBI 2008»
13 years 9 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
NAR
2010
202views more  NAR 2010»
13 years 3 months ago
dbDEPC: a database of Differentially Expressed Proteins in human Cancers
Cancer-related investigations have long been in the limelight of biomedical research. Years of effort from scientists and doctors worldwide have generated large amounts of data at...
Hong Li, Ying He, Guohui Ding, Chuan Wang, Lu Xie,...
JMLR
2006
103views more  JMLR 2006»
13 years 8 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
BMCBI
2007
168views more  BMCBI 2007»
13 years 9 months ago
Bayesian model-based inference of transcription factor activity
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
Simon Rogers, Raya Khanin, Mark Girolami
BMCBI
2006
110views more  BMCBI 2006»
13 years 9 months ago
Design of a combinatorial DNA microarray for protein-DNA interaction studies
Background: Discovery of precise specificity of transcription factors is an important step on the way to understanding the complex mechanisms of gene regulation in eukaryotes. Rec...
Julian Mintseris, Michael B. Eisen