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BMCBI
2010
130views more  BMCBI 2010»
13 years 7 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...
BMCBI
2010
132views more  BMCBI 2010»
13 years 7 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
BMCBI
2010
158views more  BMCBI 2010»
13 years 7 months ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
Corey M. Yanofsky, David R. Bickel
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identifica
Background: Comparative analysis of gene expression profiling of multiple biological categories, such as different species of organisms or different kinds of tissue, promises to e...
Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao ...
BMCBI
2010
143views more  BMCBI 2010»
13 years 7 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
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