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» A framework for computer-aided validation
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BMCBI
2010
84views more  BMCBI 2010»
14 years 12 months ago
An integrated analysis of molecular aberrations in NCI-60 cell lines
Background: Cancer is a complex disease where various types of molecular aberrations drive the development and progression of malignancies. Large-scale screenings of multiple type...
Chen-Hsiang Yeang
BMCBI
2010
147views more  BMCBI 2010»
14 years 12 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
BMCBI
2007
146views more  BMCBI 2007»
14 years 12 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
2007
114views more  BMCBI 2007»
14 years 12 months ago
Probabilistic prediction and ranking of human protein-protein interactions
Background: Although the prediction of protein-protein interactions has been extensively investigated for yeast, few such datasets exist for the far larger proteome in human. Furt...
Michelle S. Scott, Geoffrey J. Barton
BMCBI
2010
147views more  BMCBI 2010»
14 years 12 months ago
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
Thomas J. Hardcastle, Krystyna A. Kelly