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163
Voted
RECOMB
2003
Springer
16 years 4 months ago
Combining phylogenetic and hidden Markov models in biosequence analysis
A few models have appeared in recent years that consider not only the way substitutions occur through evolutionary history at each site of a genome, but also the way the process c...
Adam C. Siepel, David Haussler
161
Voted
ECCB
2003
IEEE
15 years 9 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
163
Voted
RECOMB
2003
Springer
16 years 4 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
RECOMB
2003
Springer
16 years 4 months ago
Approximation of protein structure for fast similarity measures
It is shown that structural similarity between proteins can be decided well with much less information than what is used in common similarity measures. The full C representation c...
Fabian Schwarzer, Itay Lotan
136
Voted
RECOMB
2003
Springer
16 years 4 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
Computational Biology
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