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» How to predict very large and complex crystal structures
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BMCBI
2006
120views more  BMCBI 2006»
13 years 5 months ago
Integrating protein structures and precomputed genealogies in the Magnum database: Examples with cellular retinoid binding prote
Background: When accurate models for the divergent evolution of protein sequences are integrated with complementary biological information, such as folded protein structures, anal...
Michael E. Bradley, Steven A. Benner
BMCBI
2008
147views more  BMCBI 2008»
13 years 5 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
CVPR
2012
IEEE
11 years 7 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
BMCBI
2007
124views more  BMCBI 2007»
13 years 5 months ago
Analysis on multi-domain cooperation for predicting protein-protein interactions
Background: Domains are the basic functional units of proteins. It is believed that protein-protein interactions are realized through domain interactions. Revealing multi-domain c...
Rui-Sheng Wang, Yong Wang, Ling-Yun Wu, Xiang-Sun ...
BMCBI
2005
103views more  BMCBI 2005»
13 years 5 months ago
Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery
Background: Molecular profiling generates abundance measurements for thousands of gene transcripts in biological samples such as normal and tumor tissues (data points). Given such...
Leslie Grate