Research Summary
My current research is focused on the development of algorithms for building predictive and causal models from large amounts of heterogeneous, high dimensional, spatial, temporal, multi-scale data and the application of the resulting tools in predicting health risks and health outcomes using combinations of clinical, genomic, behavioral, environmental, and socio-demographic data, modeling complex interactions between food, energy, and water systems, and people.In the News
Research Keywords
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Recent Publications
Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
Cwiek, A., Rajtmajer, S. M., Wyble, B., Honavar, V., Grossner, E. & Hillary, F. G., Feb 1 2022, In: Network Neuroscience. 6, 1, p. 29-48 20 p.Research output: Contribution to journal › Article › peer-review
Connected in health: Place-to-place commuting networks and COVID-19 spillovers
Seto, C. H., Graif, C., Khademi, A., Honavar, V. G. & Kelling, C. E., Sep 2022, In: Health and Place. 77, 102891.Research output: Contribution to journal › Article › peer-review
IScore: A novel graph kernel-based function for scoring protein-protein docking models
Geng, C., Jung, Y., Renaud, N., Honavar, V., Bonvin, A. M. J. J. & Xue, L. C., Jan 1 2020, In: Bioinformatics. 36, 1, p. 112-121 10 p.Research output: Contribution to journal › Article › peer-review
Two-dimensional hybrid organic-inorganic perovskites as emergent ferroelectric materials
Hou, Y., Wu, C., Yang, D., Ye, T., Honavar, V. G., Van Duin, A. C. T., Wang, K. & Priya, S., Aug 14 2020, In: Journal of Applied Physics. 128, 6, 060906.Research output: Contribution to journal › Review article › peer-review
The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research
Parashar, M., Simonet, A., Rodero, I., Ghahramani, F., Agnew, G., Jantz, R. & Honavar, V., May 1 2020, In: Computing in Science and Engineering. 22, 3, p. 79-92 14 p., 8686134.Research output: Contribution to journal › Article › peer-review
iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines
Renaud, N., Jung, Y., Honavar, V., Geng, C., Bonvin, A. M. J. J. & Xue, L. C., Jan 1 2020, In: SoftwareX. 11, 100462.Research output: Contribution to journal › Article › peer-review
Biomarker discovery in inflammatory bowel diseases using network-based feature selection
Abbas, M., Matta, J., Le, T., Bensmail, H., Obafemi-Ajayi, T., Honavar, V. & EL-Manzalawy, Y., Nov 1 2019, In: PloS one. 14, 11, e0225382.Research output: Contribution to journal › Article › peer-review
Machine learning in clinical care: Quo vadis?
Honavar, V., Jul 2019, In: Indian Journal of Ophthalmology. 67, 7, p. 985-986 2 p.Research output: Contribution to journal › Editorial › peer-review
Partner-specific prediction of RNA-binding residues in proteins: A critical assessment
Jung, Y., EL-Manzalawy, Y., Dobbs, D. & Honavar, V. G., Mar 1 2019, In: Proteins: Structure, Function and Bioinformatics. 87, 3, p. 198-211 14 p.Research output: Contribution to journal › Article › peer-review
Personalized sleep parameters estimation from actigraphy: A machine learning approach
Khademi, A., El-Manzalawy, Y., Master, L., Buxton, O. M. & Honavar, V. G., 2019, In: Nature and Science of Sleep. 11, p. 387-399 13 p.Research output: Contribution to journal › Article › peer-review
Welcome to the WASPI workshop
Dyer, R., Honavar, V., Leavens, G. T., Nguyen, H. A., Nguyen, T. N. & Rajan, H., Nov 9 2018, In: WASPI 2018 - Proceedings of the 1st ACM SIGSOFT International Workshop on Automated Specification Inference, Co-located with FSE 2018. p. IIIResearch output: Contribution to journal › Editorial › peer-review
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data 06 Biological Sciences 0604 Genetics
El-Manzalawy, Y., Hsieh, T. Y., Shivakumar, M., Kim, D. & Honavar, V., Sep 14 2018, In: BMC Medical Genomics. 11, 71.Research output: Contribution to journal › Article › peer-review
A user similarity-based Top-N recommendation approach for mobile in-application advertising
Hu, J., Liang, J., Kuang, Y. & Honavar, V., Nov 30 2018, In: Expert Systems With Applications. 111, p. 51-60 10 p.Research output: Contribution to journal › Article › peer-review
Template-based protein-protein docking exploiting pairwise interfacial residue restraints
Xue, L. C., Rodrigues, J. P. G. L. M., Dobbs, D., Honavar, V. & Bonvin, A. M. J. J., May 1 2017, In: Briefings in bioinformatics. 18, 3, p. 458-466 9 p.Research output: Contribution to journal › Article › peer-review
Temporal causality analysis of sentiment change in a cancer survivor network
Bui, N., Yen, J. & Honavar, V., Jun 2016, In: IEEE Transactions on Computational Social Systems. 3, 2, p. 75-87 13 p., 7539545.Research output: Contribution to journal › Article › peer-review