User profiles for Prashanti Manda
Prashanti MandaAssistant Professor, University of North Carolina at Greensboro Verified email at uncg.edu Cited by 505 |
The digital revolution in phenotyping
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, …
their application in numerous areas such as the discovery of disease genes and drug targets, …
AgBase: supporting functional modeling in agricultural organisms
AgBase ( http://www.agbase.msstate.edu/ ) provides resources to facilitate modeling of
functional genomics data and structural and functional annotation of agriculturally important …
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
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. …
wellness of patients. Hospital readmission is an undesirable outcome for elderly patients. …
Using the phenoscape knowledgebase to relate genetic perturbations to phenotypic evolution
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. …
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
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 …
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 …
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 …
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 …
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 …
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
Natural language descriptions of organismal phenotypes, a principal object of study in
biology, are abundant in the biological literature. Expressing these phenotypes as logical …
biology, are abundant in the biological literature. Expressing these phenotypes as logical …