Yojana Gadiya

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
pyBiodatafuse: extending interoperability of data using modular queries across biomedical resources.
Bioinform.
Yojana Gadiya, Javier Millán Acosta, Ammar Ammar, Alejandro Adriaque Lozano, Delano Wetstede, Dominik Martinát, Ana Claudia Sima, Hailiang Mei, Egon L. Willighagen, Tooba Abbassi-Daloii
2025 — conf
Extended RDF support for Biomedical Knowledge Graphs in pyBioDataFuse: on-the-fly RDF graph generation and new resource annotators.
SWAT4HCLS
Javier Millán Acosta, Egon L. Willighagen, Yojana Gadiya, Tooba Abbassi-Daloii
2025 J jnl
From library to landscape: integrative annotation workflows for compound libraries in drug repurposing.
Database J. Biol. Databases Curation
Jeanette Reinshagen, Brinton Seashore-Ludlow, Yojana Gadiya, Anna-Lena Gustavsson, ZiaurRehman Tanoli, Tero Aittokallio, Johanna Huchting, Annika Jenmalm-Jensen, Philip Gribbon, Andrea Zaliani, Flavio Ballante
2025 J jnl
KGG: a fully automated workflow for creating disease-specific knowledge graphs.
Bioinform.
Reagon Karki, Yojana Gadiya, Andrea Zaliani, Bishab Pokharel, Negin Sadat Babaiha, Marek Ostaszewski, Martin Hofmann-Apitius, Philip Gribbon
2025 J jnl
Predicting Antimicrobial Class Specificity of Small Molecules Using Machine Learning.
J. Chem. Inf. Model.
Yojana Gadiya, Olga Genilloud, Ursula Bilitewski, Mark Brönstrup, Leonie von Berlin, Marie Attwood, Philip Gribbon, Andrea Zaliani
2024 — conf
BioDataFuse: Enhancing data interoperability through modular queries and knowledge graph construction.
SWAT4HCLS
Tooba Abbassi-Daloii, Yojana Gadiya, Ammar Ammar, Egon L. Willighagen, Ana Claudia Sima, Hasan Balci
2024 J jnl
Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk.
Data
Sepehr Golriz Khatami, Astghik Sargsyan, Maria Francesca Russo, Daniel Domingo-Fernández, Andrea Zaliani, Abish Kaladharan, Priya Sethumadhavan, Sarah Mubeen, Yojana Gadiya, Reagon Karki, Stephan Gebel, Ram Kumar Ruppa Surulinathan, Vanessa Lage-Rupprecht, Saulius Archipovas, Geltrude Mingrone, Marc Jacobs, Carsten Claussen, Martin Hofmann-Apitius, Alpha Tom Kodamullil
2024 J jnl
MARS: A neurosymbolic approach for interpretable drug discovery.
CoRR
Lauren Nicole Delong, Yojana Gadiya, Paola Galdi, Jacques D. Fleuriot, Daniel Domingo-Fernández
2023 J jnl
Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions.
J. Cheminformatics
Daniel Domingo-Fernández, Yojana Gadiya, Sarah Mubeen, David Healey, Bryan H. Norman, Viswa Teja S. S. Colluru
2023 J jnl
PEMT: a patent enrichment tool for drug discovery.
Bioinform.
Yojana Gadiya, Andrea Zaliani, Philip Gribbon, Martin Hofmann-Apitius
2022 J jnl
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery.
PLoS Comput. Biol.
Daniel Domingo-Fernández, Yojana Gadiya, Abhishek Patel, Sarah Mubeen, Daniel Rivas-Barragan, Chris W. Diana, Biswapriya B. Misra, David Healey, John C. Rokicki, Viswa Teja S. S. Colluru
2022 J jnl
Ensembles of knowledge graph embedding models improve predictions for drug discovery.
Briefings Bioinform.
Daniel Rivas-Barragan, Daniel Domingo-Fernández, Yojana Gadiya, David Healey
2022 J jnl
SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data.
Patterns
Takoua Khorchani, Yojana Gadiya, Gesa Witt, Delia Lanzillotta, Carsten Claussen, Andrea Zaliani
2021 J jnl
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology.
Bioinform.
Daniel Domingo-Fernández, Shounak Baksi, Bruce Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann-Apitius, Alpha Tom Kodamullil