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RECOMB
2005
Springer
16 years 2 months ago
Combinatorial Genetic Regulatory Network Analysis Tools for High Throughput Transcriptomic Data
: A series of genome-scale algorithms and high-performance implementations is described and shown to be useful in the genetic analysis of gene transcription. With them it is possib...
Elissa J. Chesler, Michael A. Langston
BMCBI
2011
14 years 5 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 2 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
RECOMB
2003
Springer
16 years 2 months ago
Physical network models and multi-source data integration
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
Chen-Hsiang Yeang, Tommi Jaakkola
BMCBI
2006
112views more  BMCBI 2006»
15 years 1 months ago
A correlated motif approach for finding short linear motifs from protein interaction networks
Background: An important class of interaction switches for biological circuits and disease pathways are short binding motifs. However, the biological experiments to find these bin...
Soon-Heng Tan, Hugo Willy, Wing-Kin Sung, See-Kion...