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TCBB
2010
176views more  TCBB 2010»
15 years 5 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
RECOMB
2008
Springer
16 years 7 months ago
Duplication Mechanism and Disruptions in Flanking Regions Influence the Fate of Mammalian Gene Duplicates
Here we identify duplicated genes in five mammalian genomes and classify these duplicates based on the mechanisms by which they were generated. Retrotransposition accounts for at l...
Paul Ryvkin, Jin Jun, Edward Hemphill, Craig Nelso...
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 1 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
RECOMB
2008
Springer
16 years 7 months ago
Internal Validation of Ancestral Gene Order Reconstruction in Angiosperm Phylogeny
Abstract. Whole genome doubling (WGD), a frequent occurrence during the evolution of the angiopsperms, complicates ancestral gene order reconstruction due to the multiplicity of so...
David Sankoff, Chunfang Zheng, P. Kerr Wall, Claud...
IPPS
2009
IEEE
16 years 1 months ago
Scaling communication-intensive applications on BlueGene/P using one-sided communication and overlap
In earlier work, we showed that the one-sided communication model found in PGAS languages (such as UPC) offers significant advantages in communication efficiency by decoupling d...
Rajesh Nishtala, Paul Hargrove, Dan Bonachea, Kath...