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V. Saipradeep · SciRah

Researcher profile · Semantic Scholar

V. Saipradeep

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V. Saipradeep — researcher profile on SciRah

h-index: 7
Works: 20
Citations: 173

Most-cited papers

Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees.
W. Gong, Alejandro A. Granados, Jing-Yuan Hu, Matthew G. Jones +33 more
2021Cell Systems57 citations Open access
Semantic Scholar
' s response to reviews Title : A Pipeline To Extract Drug-Adverse Event Pairs From Multiple Data Sources
Aditya Rao, V. Saipradeep, Rajgopal Srinivasan
201351 citations
Semantic Scholar
Critical assessment of variant prioritization methods for rare disease diagnosis within the rare genomes project
S. L. Stenton, M. O’Leary, G. Lemire, G. VanNoy +70 more
2023Human Genomics18 citations Open access
Semantic Scholar
PRIORI-T: A tool for rare disease gene prioritization using MEDLINE
Aditya Rao, Thomas Joseph, V. Saipradeep, Sujatha Kotte +2 more
2020PLoS ONE17 citations Open access
Semantic Scholar
TPX: Biomedical literature search made easy
Thomas Joseph, V. Saipradeep, G. Raghavan, Rajgopal Srinivasan +3 more
2012Bioinformation10 citations Open access
Semantic Scholar
A pipeline to extract drug-adverse event pairs from multiple data sources
S. Yeleswarapu, Aditya Rao, Thomas Joseph, V. Saipradeep +1 more
2014BMC Medical Informatics and Decision Making9 citations Open access
Semantic Scholar
CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases
Laura Kasak, Jesse M. Hunter, Rupa Udani, C. Bakolitsa +26 more
2019Human Mutation8 citations Open access
Semantic Scholar
Plugin for concept-assisted search and navigation on PUBMED
Thomas Joseph, V. Saipradeep, Sujatha Kotte, Aditya Rao +1 more
2015IEEE International Conference on Bioinformatics and Biomedicine2 citations
Semantic Scholar
MAGE: Strain Level Profiling of Metagenome Samples
Vidushi Walia, V. Saipradeep, Rajgopal Srinivasan, Naveen Sivadasan
2023RECOMB Comparative Genomics Satellite Conference1 citations Open access
Semantic Scholar
Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge
Marc Aubreville, J. Ammeling, Sweta Banerjee, Viktoria Weiss +63 more
2026arXiv.org0 citations
Semantic Scholar
Fast and inexpensive visualization of genome collection at scale
Sujatha Kotte, Naina Tiwari, Kavya Vaddadi, V. Saipradeep +4 more
2026BMC Bioinformatics0 citations Open access
Semantic Scholar
MIDOG 2025 Track 2: A Deep Learning Model for Classification of Atypical and Normal Mitotic Figures under Class and Hardness Imbalances
Sujatha Kotte, V. Saipradeep, Vidushi Walia, Dhandapani Nandagopal +3 more
2025MIDOG@MICCAI0 citations
Semantic Scholar
Mitosis Detection in the Wild Using Detection Transformers
Vidushi Walia, Dhandapani Nandagopal, Sujatha Kotte, V. Saipradeep +3 more
2025bioRxiv0 citations Open access
Semantic Scholar
MAGE: Strain Level Profiling of Metagenome Samples
Vidushi Walia, V. Saipradeep, Rajgopal Srinivasan, Naveen Sivadasan
2023bioRxiv0 citations Open access
Semantic Scholar
Benchmarked approaches for reconstructions of in vitro cell lineages and in silico models of Caenorhabditis elegans, Mus musculus developmental trees
W. Gong, Alejandro A. Granados, Jing-Yuan Hu, Matthew G. Jones +31 more
20210 citations
Semantic Scholar
Benchmarked approaches for cell lineage reconstructions of in vitro dividing cells and in 1 silico models of Caenorhabditis elegans and Mus musculus developmental trees.
W. Gong, Alejandro A. Granados, Jing-Yuan Hu, Matthew G. Jones +33 more
20210 citations
Semantic Scholar
The supporting file contains list of clinical phenotype terms for each of the 230 cases along with the diagnosed disease(s) and the corresponding causal gene(s).
Aditya Rao, Thomas Joseph, V. Saipradeep, Sujatha Kotte +2 more
20200 citations Open access
Semantic Scholar
UIMA based solution in pharma text
Aditya Rao, Thomas Joseph, V. Saipradeep, Rajgopal Srinivasan
2015IEEE International Conference on Bioinformatics and Biomedicine0 citations
Semantic Scholar
' s response to reviews Title : A Pipeline To Extract Drug-Adverse Event Pairs From Multiple Data
Aditya Rao, V. Saipradeep
20140 citations
Semantic Scholar
' s response to reviews Title : A Pipeline To Extract Drug-Adverse Event Pairs From Multiple Data
S. Yeleswarapu, Aditya Rao, Thomas Joseph, V. Saipradeep +1 more
20130 citations
Semantic Scholar

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