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
Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare
SD Mohanty, D Lekan, TP McCoy, M Jenkins, P Manda
Patterns 3 (1), 2022
Comparing gene annotation enrichment tools for functional modeling of agricultural microarray data
BHJ Berg, C Thanthiriwatte, P Manda, SM Bridges
BMC bioinformatics 10, 1-9, 2009
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, bay110, 2018
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, 1-12, 2010
Automated ontology-based annotation of scientific literature using deep learning
P Manda, S SayedAhmed, SD Mohanty
Proceedings of the international workshop on semantic Big Data, 1-6, 2020
Comparison of natural language processing tools for automatic gene ontology annotation of scientific literature
L Beasley, P Manda
PeerJ Preprints, 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 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
Phenoscape: Semantic analysis of organismal traits and genes yields insights in evolutionary biology
PM Mabee, WM Dahdul, JP Balhoff, H Lapp, P Manda, JC Uyeda, ...
PeerJ, 2018
A multi-modal machine learning approach towards predicting patient readmission
SD Mohanty, D Lekan, TP McCoy, M Jenkins, P Manda
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
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
A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature
P Devkota, SD Mohanty, P Manda
BioData Mining 15 (1), 22, 2022
On the Statistical Sensitivity of Semantic Similarity Metrics.
P Manda, TJ Vision
ICBO, 2018
The system can't perform the operation now. Try again later.
Articles 1–20