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» Structured Sparsity in Structured Prediction
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RECOMB
2003
Springer
16 years 6 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
159
Voted
ISMB
1996
15 years 7 months ago
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
Burkhard Rost, Rita Casadio, Piero Fariselli
BMCBI
2010
89views more  BMCBI 2010»
15 years 6 months ago
Detection of gene pathways with predictive power for breast cancer prognosis
Background: Prognosis is of critical interest in breast cancer research. Biomedical studies suggest that genomic measurements may have independent predictive power for prognosis. ...
Shuangge Ma, Michael R. Kosorok
RECOMB
2010
Springer
15 years 4 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
197
Voted
BIB
2011
15 years 1 months ago
Mutational analysis in RNAs: comparing programs for RNA deleterious mutation prediction
Programs for RNA mutational analysis that are structure-based and rely on secondary structure prediction have been developed and expanded in the past several years. They can be us...
Danny Barash, Alexander Churkin