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Yojana Gadiya

Showing results (1-10 of 29) with videos related to

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Bioinformatics Advances|May 15, 2023
Mpox Knowledge Graph: a comprehensive representation embedding chemical entities and associated biology of MpoxReagon Karki, Yojana Gadiya, Andrea Zaliani, et al.
ACS Omega|August 28, 2023
Pharmacophore-Based Machine Learning Model To Predict Ligand Selectivity for E3 Ligase BindersReagon Karki, Yojana Gadiya, Philip Gribbon, et al.
Bioinformatics (Oxford, England)|November 2, 2022
PEMT: a patent enrichment tool for drug discoveryYojana Gadiya, Andrea Zaliani, Philip Gribbon, et al.
Scientific Data|May 16, 2024
Exploring SureChEMBL from a drug discovery perspectiveYojana Gadiya, Simran Shetty, Martin Hofmann-Apitius, et al.
Briefings in Bioinformatics|November 16, 2022
Ensembles of knowledge graph embedding models improve predictions for drug discoveryDaniel Rivas-Barragan, Daniel Domingo-Fernández, Yojana Gadiya, et al.
Patterns (New York, N.Y.)|February 14, 2022
SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical dataTakoua Khorchani, Yojana Gadiya, Gesa Witt, et al.
Journal of Cheminformatics|November 11, 2023
Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regionsDaniel Domingo-Fernández, Yojana Gadiya, Sarah Mubeen, et al.
Journal of Alzheimer'S Disease : JAD|September 14, 2020
Data-Driven Modeling of Knowledge Assemblies in Understanding Comorbidity Between Type 2 Diabetes Mellitus and Alzheimer's DiseaseReagon Karki, Sumit Madan, Yojana Gadiya, et al.
NAR Genomics and Bioinformatics|September 27, 2021
DecoPath: a web application for decoding pathway enrichment analysisSarah Mubeen, Vinay S Bharadhwaj, Yojana Gadiya, et al.
Journal of Chemical Information and Modeling|February 23, 2025
Predicting Antimicrobial Class Specificity of Small Molecules Using Machine LearningYojana Gadiya, Olga Genilloud, Ursula Bilitewski, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Bioinformatics Advances|May 15, 2023
Mpox Knowledge Graph: a comprehensive representation embedding chemical entities and associated biology of MpoxReagon Karki, Yojana Gadiya, Andrea Zaliani, et al.
ACS Omega|August 28, 2023
Pharmacophore-Based Machine Learning Model To Predict Ligand Selectivity for E3 Ligase BindersReagon Karki, Yojana Gadiya, Philip Gribbon, et al.
Bioinformatics (Oxford, England)|November 2, 2022
PEMT: a patent enrichment tool for drug discoveryYojana Gadiya, Andrea Zaliani, Philip Gribbon, et al.
Scientific Data|May 16, 2024
Exploring SureChEMBL from a drug discovery perspectiveYojana Gadiya, Simran Shetty, Martin Hofmann-Apitius, et al.
Briefings in Bioinformatics|November 16, 2022
Ensembles of knowledge graph embedding models improve predictions for drug discoveryDaniel Rivas-Barragan, Daniel Domingo-Fernández, Yojana Gadiya, et al.
Patterns (New York, N.Y.)|February 14, 2022
SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical dataTakoua Khorchani, Yojana Gadiya, Gesa Witt, et al.
Journal of Cheminformatics|November 11, 2023
Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regionsDaniel Domingo-Fernández, Yojana Gadiya, Sarah Mubeen, et al.
Journal of Alzheimer'S Disease : JAD|September 14, 2020
Data-Driven Modeling of Knowledge Assemblies in Understanding Comorbidity Between Type 2 Diabetes Mellitus and Alzheimer's DiseaseReagon Karki, Sumit Madan, Yojana Gadiya, et al.
NAR Genomics and Bioinformatics|September 27, 2021
DecoPath: a web application for decoding pathway enrichment analysisSarah Mubeen, Vinay S Bharadhwaj, Yojana Gadiya, et al.
Journal of Chemical Information and Modeling|February 23, 2025
Predicting Antimicrobial Class Specificity of Small Molecules Using Machine LearningYojana Gadiya, Olga Genilloud, Ursula Bilitewski, et al.
Pageof 3