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Vasant Honavar

Showing results (11-20 of 56) with videos related to

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BMC Bioinformatics|June 21, 2011
HomPPI: a class of sequence homology based protein-protein interface prediction methodsLi C Xue, Drena Dobbs, Vasant Honavar
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 22, 2010
Predicting MHC-II binding affinity using multiple instance regressionYasser EL-Manzalawy, Drena Dobbs, Vasant Honavar
Plos One|September 25, 2008
On evaluating MHC-II binding peptide prediction methodsYasser El-Manzalawy, Drena Dobbs, Vasant Honavar
Journal of Molecular Recognition : JMR|May 23, 2008
Predicting linear B-cell epitopes using string kernelsYasser El-Manzalawy, Drena Dobbs, Vasant Honavar
Computational Systems Bioinformatics. Computational Systems Bioinformatics Conference|August 1, 2009
Predicting flexible length linear B-cell epitopesYasser El-Manzalawy, Drena Dobbs, Vasant Honavar
Proceedings. IEEE International Conference on Data Mining|July 24, 2012
Abstraction Augmented Markov ModelsCornelia Caragea, Adrian Silvescu, Doina Caragea, et al.
BMC Bioinformatics|November 2, 2010
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov modelsCornelia Caragea, Doina Caragea, Adrian Silvescu, et al.
BMC Bioinformatics|May 12, 2009
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labelingCornelia Caragea, Jivko Sinapov, Drena Dobbs, et al.
Plos One|February 23, 2013
Predicting the binding patterns of hub proteins: a study using yeast protein interaction networksCarson M Andorf, Vasant Honavar, Taner Z Sen
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|September 4, 2004
An incremental learning algorithm with confidence estimation for automated identification of NDE signalsRobi Polikar, Lalita Udpa, Satish Udpa, et al.
Pageof 6

Showing results (11-20 of 56) with videos related to

Sort By:
Pageof 6
BMC Bioinformatics|June 21, 2011
HomPPI: a class of sequence homology based protein-protein interface prediction methodsLi C Xue, Drena Dobbs, Vasant Honavar
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 22, 2010
Predicting MHC-II binding affinity using multiple instance regressionYasser EL-Manzalawy, Drena Dobbs, Vasant Honavar
Plos One|September 25, 2008
On evaluating MHC-II binding peptide prediction methodsYasser El-Manzalawy, Drena Dobbs, Vasant Honavar
Journal of Molecular Recognition : JMR|May 23, 2008
Predicting linear B-cell epitopes using string kernelsYasser El-Manzalawy, Drena Dobbs, Vasant Honavar
Computational Systems Bioinformatics. Computational Systems Bioinformatics Conference|August 1, 2009
Predicting flexible length linear B-cell epitopesYasser El-Manzalawy, Drena Dobbs, Vasant Honavar
Proceedings. IEEE International Conference on Data Mining|July 24, 2012
Abstraction Augmented Markov ModelsCornelia Caragea, Adrian Silvescu, Doina Caragea, et al.
BMC Bioinformatics|November 2, 2010
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov modelsCornelia Caragea, Doina Caragea, Adrian Silvescu, et al.
BMC Bioinformatics|May 12, 2009
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labelingCornelia Caragea, Jivko Sinapov, Drena Dobbs, et al.
Plos One|February 23, 2013
Predicting the binding patterns of hub proteins: a study using yeast protein interaction networksCarson M Andorf, Vasant Honavar, Taner Z Sen
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|September 4, 2004
An incremental learning algorithm with confidence estimation for automated identification of NDE signalsRobi Polikar, Lalita Udpa, Satish Udpa, et al.
Pageof 6