Prashanti Manda, Ph.D.
Affiliations: | 2012 | Computer Science and Engineering | Mississippi State University, Starkville, MS, United States |
Area:
Computer ScienceGoogle:
"Prashanti Manda"Parents
Sign in to add mentor| Todd J. Vision | grad student | UNC Chapel Hill (Evolution Tree) | ||
| Julia E. Hodges | grad student | 2012 | Mississippi State University | |
| (Novel algorithms for cross-ontology multi-level data mining.) | ||||
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Publications
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| Manda P. (2020) Data mining powered by the gene ontology Wires Data Mining and Knowledge Discovery. 10 |
| Manda P, Hahn A, Beekman K, et al. (2019) Avoiding "conflicts of interest": a computational approach to scheduling parallel conference tracks and its human evaluation. Peerj. Computer Science. 5: e234 |
| Manda P, Hahn A, Beekman K, et al. (2019) Avoiding “conflicts of interest”: a computational approach to scheduling parallel conference tracks and its human evaluation Peerj Computer Science. 5: e234 |
| Dahdul W, Manda P, Cui H, et al. (2018) Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems. Database : the Journal of Biological Databases and Curation. 2018 |
| Dahdul W, Manda P, Cui H, et al. (2017) Gold standard evaluation of machine and human generated annotations of biodiverse phenotypes F1000research. 6 |
| Manda P, Mungall CJ, Balhoff JP, et al. (2016) INVESTIGATING THE IMPORTANCE OF ANATOMICAL HOMOLOGY FOR CROSS-SPECIES PHENOTYPE COMPARISONS USING SEMANTIC SIMILARITY. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 21: 132-43 |
| Oellrich A, Collier N, Groza T, et al. (2015) The digital revolution in phenotyping. Briefings in Bioinformatics |
| Manda P, Balhoff JP, Lapp H, et al. (2015) Using the phenoscape knowledgebase to relate genetic perturbations to phenotypic evolution. Genesis (New York, N.Y. : 2000). 53: 561-71 |
| Balhoff J, Manda P, Lapp H, et al. (2015) Connecting genes with evolutionary knowledge using semantic similarity and ancestral profiles of variation F1000research. 4 |
| Manda P, McCarthy F, Bridges SM. (2013) Interestingness measures and strategies for mining multi-ontology multi-level association rules from gene ontology annotations for the discovery of new GO relationships. Journal of Biomedical Informatics. 46: 849-56 |