Vasant Honavar
Professor and Edward Frymoyer Chair of Information Sciences and Technology
Bio
Statistical machine learning algorithms for predictive modeling; modeling and inference of biological networks; characterization and prediction of protein-protein, protein-RNA, and protein-DNA interactions.
Publication Tags
Proteins Rna Machine Learning Protein Learning Systems Sequence Homology Prediction Genes Amino Acid Sequence Homology Biomarkers Gene Expression Rna Binding Proteins Methodology Classifiers Artificial Intelligence Carbon Staphylococcal Protein A Conformations Experiments Interaction Datasets Query Binding Sites Support Vector Machine Support Vector Machines
Most Recent Papers
Personalized sleep parameters estimation from actigraphy
Aria Khademi, Yasser El-Manzalawy, Lindsay Master, Orfeu M. Buxton, Vasant G. Honavar, 2019, Nature and Science of Sleep on p. 387-399
The Virtual Data Collaboratory
Manish Parashar, Vasant Honavar, Anthony Simonet, Ivan Rodero, Forough Ghahramani, Grace Agnew, Ron Jantz, 2019, Computing in Science and Engineering
Biomarker discovery in inflammatory bowel diseases using network-based feature selection
Mostafa Abbas, John Matta, Thanh Le, Halima Bensmail, Tayo Obafemi-Ajayi, Vasant Honavar, Yasser EL-Manzalawy, 2019, PloS one
A user similarity-based Top-N recommendation approach for mobile in-application advertising
Jinlong Hu, Junjie Liang, Yuezhen Kuang, Vasant Gajanan Honavar, 2018, Expert Systems With Applications on p. 51-60
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data 06 Biological Sciences 0604 Genetics
Yasser Elmanzalawi, Tsung Yu Hsieh, Manu Shivakumar, Dokyoon Kim, Vasant Gajanan Honavar, 2018, BMC Medical Genomics
Partner-specific prediction of RNA-binding residues in proteins
Yong Jung, Yasser EL-Manzalawy, Drena Dobbs, Vasant G. Honavar, 2018, Proteins: Structure, Function and Bioinformatics
Template-based protein-protein docking exploiting pairwise interfacial residue restraints
Li C. Xue, Joãao P.G.L.M. Rodrigues, Drena Dobbs, Vasant Honavar, Alexandre M.J.J. Bonvin, 2017, Briefings in bioinformatics on p. 458-466
A conceptual framework for secrecy-preserving reasoning in knowledge bases
Jia Tao, Giora Slutzki, Vasant Honavar, 2014, ACM Transactions on Computational Logic
RNABindRPlus
Rasna R. Walia, Li C. Xue, Katherine Wilkins, Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar, 2014, PloS one
DockRank
Li C. Xue, Rafael A. Jordan, El Manzalawy Yasser, Drena Dobbs, Vasant Honavar, 2014, Proteins: Structure, Function and Bioinformatics on p. 250-267
Recent Most-Cited Papers
Predicting RNA-Protein Interactions Using Only Sequence Information
Usha K. Muppirala, Vasant G. Honavar, Drena Dobbs, 2011, BMC bioinformatics
PRIDB
Benjamin A. Lewis, Rasna R. Walia, Michael Terribilini, Jeff Ferguson, Charles Zheng, Vasant Honavar, Drena Dobbs, 2011, Nucleic acids research on p. D277-D282
Protein-RNA interface residue prediction using machine learning
Rasna R. Walia, Cornelia Caragea, Benjamin A. Lewis, Fadi Towfic, Michael Terribilini, Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar, 2012, BMC bioinformatics
Predicting protein-protein interface residues using local surface structural similarity
Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar, 2012, BMC bioinformatics
HomPPI
Li C. Xue, Drena Dobbs, Vasant Honavar, 2011, BMC bioinformatics
RNABindRPlus
Rasna R. Walia, Li C. Xue, Katherine Wilkins, Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar, 2014, PloS one
DockRank
Li C. Xue, Rafael A. Jordan, El Manzalawy Yasser, Drena Dobbs, Vasant Honavar, 2014, Proteins: Structure, Function and Bioinformatics on p. 250-267
Detection of gene orthology from gene co-expression and protein interaction networks
Fadi Towfic, Susan VanderPIas, Casey A. OIiver, OIiver Couture, Christopher K. TuggIe, M. Heather West GreenIee, Vasant Honavar, 2010, BMC bioinformatics
Representing and reasoning with qualitative preferences for compositional systems
Ganesh Ram Santhanam, Samik Basu, Vasant Honavar, 2011, Journal of Artificial Intelligence Research on p. 211-274
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models
Cornelia Caragea, Doina Caragea, Adrian Silvescu, Vasant Honavar, 2010, BMC bioinformatics