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» Redundancy based feature selection for microarray data
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KDD
2004
ACM
164views Data Mining» more  KDD 2004»
15 years 10 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
CVPR
2008
IEEE
15 years 12 months ago
Filtering Internet image search results towards keyword based category recognition
In this work we aim to capitalize on the availability of Internet image search engines to automatically create image training sets from user provided queries. This problem is part...
Kamil Wnuk, Stefano Soatto
BMCBI
2008
155views more  BMCBI 2008»
14 years 10 months ago
Extending pathways based on gene lists using InterPro domain signatures
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...
BMCBI
2006
139views more  BMCBI 2006»
14 years 10 months ago
DNA Molecule Classification Using Feature Primitives
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
Raja Tanveer Iqbal, Matthew Landry, Stephen Winter...
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders