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ORCIDYojana Gadiya
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2020 – today
- 2024
[j7]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:
Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk. Data 9(2): 25 (2024)- [i1]Lauren Nicole Delong, Yojana Gadiya, Paola Galdi, Jacques D. Fleuriot, Daniel Domingo-Fernández:
MARS: A neurosymbolic approach for interpretable drug discovery. CoRR abs/2410.05289 (2024) - 2023
- [j6]Yojana Gadiya, Andrea Zaliani, Philip Gribbon, Martin Hofmann-Apitius:
PEMT: a patent enrichment tool for drug discovery. Bioinform. 39(1) (2023) - [j5]Daniel Domingo-Fernández, Yojana Gadiya, Sarah Mubeen, David Healey, Bryan H. Norman, Viswa Teja S. S. Colluru:
Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions. J. Cheminformatics 15(1): 107 (2023) - 2022
- [j4]Daniel Rivas-Barragan, Daniel Domingo-Fernández, Yojana Gadiya, David Healey:
Ensembles of knowledge graph embedding models improve predictions for drug discovery. Briefings Bioinform. 23(6) (2022) - [j3]Takoua Khorchani, Yojana Gadiya, Gesa Witt, Delia Lanzillotta, Carsten Claussen, Andrea Zaliani:
SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data. Patterns 3(4): 100453 (2022) - [j2]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:
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery. PLoS Comput. Biol. 18(2) (2022) - 2021
- [j1]Daniel Domingo-Fernández, Shounak Baksi, Bruce Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann-Apitius, Alpha Tom Kodamullil:
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology. Bioinform. 37(9): 1332-1334 (2021)
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