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Anil G Jegga

Showing results (1-10 of 152) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|May 30, 2014
Candidate gene discovery and prioritization in rare diseasesAnil G Jegga
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 20, 2022
<i>gene2gauss</i>: A multi-view gaussian gene embedding learner for analyzing transcriptomic networksSudhir Ghandikota, Anil G Jegga
BMC Bioinformatics|July 16, 2009
Regression based predictor for p53 transactivationSivakumar Gowrisankar, Anil G Jegga
Pharmaceuticals (Basel, Switzerland)|September 27, 2025
From Gene Networks to Therapeutics: A Causal Inference and Deep Learning Approach for Drug DiscoverySudhir Ghandikota, Anil G Jegga
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2018
Characterizing drug-related adverse events by joint analysis of biomedical and genomic data: A case study of drug-induced pulmonary fibrosisAlex Jiang, Anil G Jegga
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 26, 2015
Concept Modeling-based Drug RepositioningJagadeesh Patchala, Anil G Jegga
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 20, 2021
MGATRx: Discovering Drug Repositioning Candidates Using Multi-View Graph AttentionJaswanth K Yella, Anil G Jegga
Progress in Molecular Biology and Translational Science|May 24, 2024
Application of artificial intelligence and machine learning in drug repurposingSudhir K Ghandikota, Anil G Jegga
STAR Protocols|November 8, 2021
Computational workflow for functional characterization of COVID-19 through secondary data analysisSudhir Ghandikota, Mihika Sharma, Anil G Jegga
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Transcriptomic Data Mining and Repurposing for Computational Drug DiscoveryYunguan Wang, Jaswanth Yella, Anil G Jegga
Pageof 16

Showing results (1-10 of 152) with videos related to

Sort By:
Pageof 16
Methods in Molecular Biology (Clifton, N.J.)|May 30, 2014
Candidate gene discovery and prioritization in rare diseasesAnil G Jegga
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 20, 2022
<i>gene2gauss</i>: A multi-view gaussian gene embedding learner for analyzing transcriptomic networksSudhir Ghandikota, Anil G Jegga
BMC Bioinformatics|July 16, 2009
Regression based predictor for p53 transactivationSivakumar Gowrisankar, Anil G Jegga
Pharmaceuticals (Basel, Switzerland)|September 27, 2025
From Gene Networks to Therapeutics: A Causal Inference and Deep Learning Approach for Drug DiscoverySudhir Ghandikota, Anil G Jegga
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2018
Characterizing drug-related adverse events by joint analysis of biomedical and genomic data: A case study of drug-induced pulmonary fibrosisAlex Jiang, Anil G Jegga
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 26, 2015
Concept Modeling-based Drug RepositioningJagadeesh Patchala, Anil G Jegga
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 20, 2021
MGATRx: Discovering Drug Repositioning Candidates Using Multi-View Graph AttentionJaswanth K Yella, Anil G Jegga
Progress in Molecular Biology and Translational Science|May 24, 2024
Application of artificial intelligence and machine learning in drug repurposingSudhir K Ghandikota, Anil G Jegga
STAR Protocols|November 8, 2021
Computational workflow for functional characterization of COVID-19 through secondary data analysisSudhir Ghandikota, Mihika Sharma, Anil G Jegga
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Transcriptomic Data Mining and Repurposing for Computational Drug DiscoveryYunguan Wang, Jaswanth Yella, Anil G Jegga
Pageof 16