Yojana Gadiya

According to our database, Yojana Gadiya authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk.

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

Data, 2024

MARS: A neurosymbolic approach for interpretable drug discovery.

Lauren Nicole Delong, Yojana Gadiya, Paola Galdi, Jacques D. Fleuriot, Daniel Domingo-Fernández

CoRR, 2024

BioDataFuse: Enhancing data interoperability through modular queries and knowledge graph construction.

Tooba Abbassi-Daloii, Yojana Gadiya, Ammar Ammar, Egon L. Willighagen, Ana Claudia Sima, Hasan Balci

Proceedings of the 15th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2024

2023

Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions.

Daniel Domingo-Fernández, Yojana Gadiya, Sarah Mubeen, David Healey, Bryan H. Norman, Viswa Teja S. S. Colluru

J. Cheminformatics, December, 2023

PEMT: a patent enrichment tool for drug discovery.

Yojana Gadiya, Andrea Zaliani, Philip Gribbon, Martin Hofmann-Apitius

Bioinform., January, 2023

2022

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery.

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

PLoS Comput. Biol., 2022

SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data.

Takoua Khorchani, Yojana Gadiya, Gesa Witt, Delia Lanzillotta, Carsten Claussen, Andrea Zaliani

Patterns, 2022

Ensembles of knowledge graph embedding models improve predictions for drug discovery.

Daniel Rivas-Barragan, Daniel Domingo-Fernández, Yojana Gadiya, David Healey

Briefings Bioinform., 2022

2021

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology.

Daniel Domingo-Fernández, Shounak Baksi, Bruce Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann-Apitius, Alpha Tom Kodamullil

Bioinform., 2021