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» Biological Network Inference Using Redundancy Analysis
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BIBE
2006
IEEE
139views Bioinformatics» more  BIBE 2006»
15 years 3 months ago
A Computational Inference Framework for analyzing Gene Regulation Pathway using Microarray Data
Microarray experiments produce gene expression data at such a high speed and volume that it is imperative to use highly specialized computational tools for their analyses. One grou...
Dong-Guk Shin, John Bluis, Yoo Ah Kim, Winfried Kr...
BMCBI
2010
147views more  BMCBI 2010»
14 years 9 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
SP
2008
IEEE
122views Security Privacy» more  SP 2008»
14 years 9 months ago
Large-scale phylogenetic analysis on current HPC architectures
Abstract. Phylogenetic inference is considered a grand challenge in Bioinformatics due to its immense computational requirements. The increasing popularity and availability of larg...
Michael Ott, Jaroslaw Zola, Srinivas Aluru, Andrew...
BMCBI
2007
143views more  BMCBI 2007»
14 years 9 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
RECOMB
2003
Springer
15 years 10 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson