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» Gene functional classification from heterogeneous data
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BMCBI
2008
160views more  BMCBI 2008»
13 years 6 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva
IJON
2010
148views more  IJON 2010»
13 years 3 months ago
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
Matteo Re, Giorgio Valentini
JCB
2002
104views more  JCB 2002»
13 years 6 months ago
Learning Gene Functional Classifications from Multiple Data Types
Paul Pavlidis, Jason Weston, Jinsong Cai, William ...
BMCBI
2007
135views more  BMCBI 2007»
13 years 6 months ago
DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput
Background: Due to the complex and distributed nature of biological research, our current biological knowledge is spread over many redundant annotation databases maintained by man...
Brad T. Sherman, Da Wei Huang, Qina Tan, Yongjian ...
BMCBI
2010
160views more  BMCBI 2010»
13 years 6 months ago
Extracting consistent knowledge from highly inconsistent cancer gene data sources
Background: Hundreds of genes that are causally implicated in oncogenesis have been found and collected in various databases. For efficient application of these abundant but diver...
Xue Gong, Ruihong Wu, Yuannv Zhang, Wenyuan Zhao, ...