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JMLR
2012
11 years 11 months ago
Structured Sparse Canonical Correlation Analysis
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Xi Chen, Han Liu, Jaime G. Carbonell
FUIN
2011
358views Cryptology» more  FUIN 2011»
12 years 12 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
ICC
2008
IEEE
133views Communications» more  ICC 2008»
14 years 2 months ago
Call Admission Control for Mobile Agent Based Handoff in Wireless Mesh Networks
Abstract—Wireless mesh network (WMN) has emerged recently as a promising technology for next-generation wireless networking. In WMN, it is important to provide an efficient hand...
Bo Rong, Yi Qian, Kejie Lu, Michel Kadoch
BMCBI
2010
176views more  BMCBI 2010»
13 years 5 months ago
Haplotype association analyses in resources of mixed structure using Monte Carlo testing
Background: Genomewide association studies have resulted in a great many genomic regions that are likely to harbor disease genes. Thorough interrogation of these specific regions ...
Ryan Abo, Jathine Wong, Alun Thomas, Nicola J. Cam...
BMCBI
2008
160views more  BMCBI 2008»
13 years 8 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...