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» Microarray Gene Expression Data Analysis
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IDA
2006
Springer
14 years 11 months ago
Backward chaining rule induction
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
Douglas H. Fisher, Mary E. Edgerton, Zhihua Chen, ...
GCB
2005
Springer
98views Biometrics» more  GCB 2005»
15 years 5 months ago
Composite Module Analyst: A Fitness-Based Tool for Prediction of Transcription Regulation
: Functionally related genes involved in the same molecular-genetic, biochemical, or physiological process are often regulated coordinately Such regulation is provided by precisely...
Alexander E. Kel, Tatiana Konovalova, Tagir Valeev...
106
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BMCBI
2007
123views more  BMCBI 2007»
14 years 11 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 4 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
BMCBI
2007
78views more  BMCBI 2007»
14 years 11 months ago
Improved human disease candidate gene prioritization using mouse phenotype
Background: The majority of common diseases are multi-factorial and modified by genetically and mechanistically complex polygenic interactions and environmental factors. High-thro...
Jing Chen, Huan Xu, Bruce J. Aronow, Anil G. Jegga