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» Mining phenotypes for gene function prediction
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BIODATAMINING
2008
178views more  BIODATAMINING 2008»
13 years 7 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje
SNPD
2004
13 years 8 months ago
Prediction of Protein Dispensability through Integrated Analysis of Multiple-Source High-Throughput Data
Protein dispensability is fundamental to understanding of gene function and evolution. It is usually studied at the individual gene phenotype level. Recent advances in generating ...
Yu Chen, Dong Xu
BMCBI
2008
95views more  BMCBI 2008»
13 years 7 months ago
Mining protein networks for synthetic genetic interactions
Background: The local connectivity and global position of a protein in a protein interaction network are known to correlate with some of its functional properties, including its e...
Sri R. Paladugu, Shan Zhao, Animesh Ray, Alpan Rav...
BMCBI
2006
170views more  BMCBI 2006»
13 years 7 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
BMCBI
2005
95views more  BMCBI 2005»
13 years 7 months ago
Commensurate distances and similar motifs in genetic congruence and protein interaction networks in yeast
Background: In a genetic interaction, the phenotype of a double mutant differs from the combined phenotypes of the underlying single mutants. When the single mutants have no growt...
Ping Ye, Brian D. Peyser, Forrest A. Spencer, Joel...