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BMCBI
2010
147views more  BMCBI 2010»
13 years 3 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...
BMCBI
2008
166views more  BMCBI 2008»
13 years 3 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
TCBB
2008
116views more  TCBB 2008»
13 years 3 months ago
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria
Recently, the concept of mutual information has been proposed for inferring the structure of genetic regulatory networks from gene expression profiling. After analyzing the limitat...
Wentao Zhao, Erchin Serpedin, Edward R. Dougherty
ALMOB
2007
155views more  ALMOB 2007»
13 years 3 months ago
Finding coevolving amino acid residues using row and column weighting of mutual information and multi-dimensional amino acid rep
Background: Some amino acid residues functionally interact with each other. This interaction will result in an evolutionary co-variation between these residues – coevolution. Ou...
Rodrigo Gouveia-Oliveira, Anders Gorm Pedersen
CIKM
1997
Springer
13 years 7 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu