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» An Auxiliary Variational Method
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169
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BMCBI
2008
159views more  BMCBI 2008»
15 years 3 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
122
Voted
BMCBI
2008
99views more  BMCBI 2008»
15 years 3 months ago
Exhaustive prediction of disease susceptibility to coding base changes in the human genome
Background: Single Nucleotide Polymorphisms (SNPs) are the most abundant form of genomic variation and can cause phenotypic differences between individuals, including diseases. Ba...
Vinayak Kulkarni, Mounir Errami, Robert Barber, Ha...
129
Voted
BMCBI
2006
87views more  BMCBI 2006»
15 years 3 months ago
Phylogeny based discovery of regulatory elements
Background: Algorithms that locate evolutionarily conserved sequences have become powerful tools for finding functional DNA elements, including transcription factor binding sites;...
Jason Gertz, Justin C. Fay, Barak A. Cohen
BMCBI
2006
165views more  BMCBI 2006»
15 years 3 months ago
Improving the quality of protein structure models by selecting from alignment alternatives
Background: In the area of protein structure prediction, recently a lot of effort has gone into the development of Model Quality Assessment Programs (MQAPs). MQAPs distinguish hig...
Ingolf Sommer, Stefano Toppo, Oliver Sander, Thoma...
BMCBI
2007
178views more  BMCBI 2007»
15 years 3 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat