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FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 10 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...
ICS
2005
Tsinghua U.
16 years 5 days ago
Lightweight reference affinity analysis
Previous studies have shown that array regrouping and structure splitting significantly improve data locality. The most effective technique relies on profiling every access to eve...
Xipeng Shen, Yaoqing Gao, Chen Ding, Roch Archamba...
BMCBI
2008
144views more  BMCBI 2008»
15 years 6 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
NAR
2007
155views more  NAR 2007»
15 years 6 months ago
Influenza Virus Database (IVDB): an integrated information resource and analysis platform for influenza virus research
Frequent outbreaks of highly pathogenic avian influenza and the increasing data available for comparative analysis require a central database specialized in influenza viruses (IVs...
Suhua Chang, Jiajie Zhang, Xiaoyun Liao, Xinxing Z...
BMCBI
2010
182views more  BMCBI 2010»
15 years 6 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...