User profiles for Prashanti Manda

Prashanti Manda

Assistant Professor, University of North Carolina at Greensboro
Verified email at uncg.edu
Cited by 505

The digital revolution in phenotyping

…, A Luna, AM Mallon, P Manda… - Briefings in …, 2016 - academic.oup.com
Phenotypes have gained increased notoriety in the clinical and biological domain owing to
their application in numerous areas such as the discovery of disease genes and drug targets, …

AgBase: supporting functional modeling in agricultural organisms

…, R Kumar, S Ozkan, H Wang, P Manda… - Nucleic acids …, 2011 - academic.oup.com
AgBase ( http://www.agbase.msstate.edu/ ) provides resources to facilitate modeling of
functional genomics data and structural and functional annotation of agriculturally important …

[PDF][PDF] Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare

SD Mohanty, D Lekan, TP McCoy, M Jenkins, P Manda - Patterns, 2022 - cell.com
Healthcare costs due to unplanned readmissions are high and negatively affect health and
wellness of patients. Hospital readmission is an undesirable outcome for elderly patients. …

Using the phenoscape knowledgebase to relate genetic perturbations to phenotypic evolution

P Manda, JP Balhoff, H Lapp, P Mabee, TJ Vision - genesis, 2015 - Wiley Online Library
The abundance of phenotypic diversity among species can enrich our knowledge of development
and genetics beyond the limits of variation that can be observed in model organisms. …

[HTML][HTML] Cross-ontology multi-level association rule mining in the gene ontology

P Manda, S Ozkan, H Wang, F McCarthy, SM Bridges - 2012 - journals.plos.org
The Gene Ontology (GO) has become the internationally accepted standard for representing
function, process, and location aspects of gene products. The wealth of GO annotation data …

[HTML][HTML] A deep semantic matching approach for identifying relevant messages for social media analysis

FB Biggers, SD Mohanty, P Manda - Scientific Reports, 2023 - nature.com
There is a growing interest in using social media content for Natural Language Processing
applications. However, it is not easy to computationally identify the most relevant set of tweets …

[HTML][HTML] Interestingness measures and strategies for mining multi-ontology multi-level association rules from gene ontology annotations for the discovery of new GO …

P Manda, F McCarthy, SM Bridges - Journal of biomedical informatics, 2013 - Elsevier
The Gene Ontology (GO), a set of three sub-ontologies, is one of the most popular bio-ontologies
used for describing gene product characteristics. GO annotation data containing terms …

Automated ontology-based annotation of scientific literature using deep learning

P Manda, S SayedAhmed, SD Mohanty - Proceedings of the …, 2020 - dl.acm.org
Representing scientific knowledge using ontologies enables data integration, consistent
machine-readable data representation, and allows for large-scale computational analyses. Text …

[HTML][HTML] A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature

P Devkota, SD Mohanty, P Manda - BioData Mining, 2022 - Springer
Background Annotating scientific literature with ontology concepts is a critical task in biology
and several other domains for knowledge discovery. Ontology based annotations can …

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… - Database, 2018 - academic.oup.com
Natural language descriptions of organismal phenotypes, a principal object of study in
biology, are abundant in the biological literature. Expressing these phenotypes as logical …