Vasant Honavar

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