Prashanti Manda
Cited by
Cited by
AgBase: supporting functional modeling in agricultural organisms
FM McCarthy, CR Gresham, TJ Buza, P Chouvarine, LR Pillai, R Kumar, ...
Nucleic acids research 39 (suppl_1), D497-D506, 2011
The digital revolution in phenotyping
A Oellrich, N Collier, T Groza, D Rebholz-Schuhmann, N Shah, ...
Briefings in bioinformatics 17 (5), 819-830, 2016
Cross-ontology multi-level association rule mining in the gene ontology
P Manda, S Ozkan, H Wang, F McCarthy, SM Bridges
Public Library of Science 7 (10), e47411, 2012
Interestingness measures and strategies for mining multi-ontology multi-level association rules from gene ontology annotations for the discovery of new GO relationships
P Manda, F McCarthy, SM Bridges
Journal of biomedical informatics 46 (5), 849-856, 2013
Comparing gene annotation enrichment tools for functional modeling of agricultural microarray data
BHJ Van den Berg, C Thanthiriwatte, P Manda, SM Bridges
BMC bioinformatics 10 (11), 1-9, 2009
Using the phenoscape knowledgebase to relate genetic perturbations to phenotypic evolution
P Manda, JP Balhoff, H Lapp, P Mabee, TJ Vision
genesis 53 (8), 561-571, 2015
GOModeler-A tool for hypothesis-testing of functional genomics datasets
P Manda, MKG Freeman, SM Bridges, TJ Jankun-Kelly, B Nanduri, ...
BMC bioinformatics 11 (6), 1-12, 2010
Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems
W Dahdul, P Manda, H Cui, JP Balhoff, TA Dececchi, N Ibrahim, H Lapp, ...
Database 2018, 2018
What’s hot and what’s not? - exploring trends in bioinformatics literature using topic modeling and keyword analysis
A Hahn, SD Mohanty, P Manda
International Symposium on Bioinformatics Research, 2017, 2017
Taking a dive: experiments in deep learning for automatic ontology-based annotation of scientific literature
P Manda, L Beasley, SD Mohanty
bioRxiv, 365874, 2018
Comparison of natural language processing tools for automatic gene ontology annotation of scientific literature
L Beasley, P Manda
PeerJ Preprints, 2018
Phenoscape: Semantic analysis of organismal traits and genes yields insights in evolutionary biology
PM Mabee, WM Dahdul, JP Balhoff, H Lapp, P Manda, J Uyeda, T Vision, ...
PeerJ, 2018
Investigating the importance of anatomical homology for cross-species phenotype comparisons using semantic similarity.
P Manda, CJ Mungall, JP Balhoff, H Lapp, TJ Vision
Pacific Symposium on Biocomputing, 2016
Using Manual and Computer-Based Text-Mining to Uncover Research Trends for Apis mellifera
E Amiri, P Waiker, O Rueppell, P Manda
Veterinary sciences 7 (2), 61, 2020
Comparison of a frailty risk score and comorbidity indices for hospital readmission using electronic health record data
DA Lekan, TP McCoy, M Jenkins, S Mohanty, P Manda, R Yasin
Research in Gerontological Nursing 14 (2), 91-103, 2021
Data mining powered by the gene ontology
P Manda
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020
An analysis and comparison of the statistical sensitivity of semantic similarity metrics
P Manda, T Vision
bioRxiv, 327833, 2018
Information-theoretic Interestingness Measures for Cross-Ontology Data Mining
P Manda, F McCarthy, B Nanduri, H Wang, SM Bridges
Int'l Conf. Bioinformatics and Computational Biology, 2016
Measuring the importance of annotation granularity to the detection of semantic similarity between phenotype profiles
P Manda, JP Balhoff, TJ Vision
bioRxiv, 086306, 2016
A multi-modal machine learning approach towards predicting patient readmission
SD Mohanty, TP McCoy, P Manda, D Lekan, M Jenkins
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
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