Author

Vidisha Singh

Université Paris-SaclayORCID 0000-0002-3250-6669Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Vidisha Singh1 paper · Emory University

Biology Disciplines

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Systems Biology· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Anna NiarakisiD· 4 shared Akira FunahashiiD· 2 shared Alexander MazeiniD· 2 shared Angela BauchiD· 2 shared Arnau MontagudiD· 2 shared Augustin LunaiD· 2 shared Aurélien NaldiiD· 2 shared Benjamin M. GyoriiD· 2 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersSystems Biology

Anna NiarakisORCID

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4 papers

Recent·Most cited

A large-scale Boolean model of the Rheumatoid Arthritis Fibroblast-Like Synoviocytes predicts drug synergies in the arthritic joint

Vidisha Singh, Aurélien Naldi, Sylvain Soliman, Anna Niarakis

The paper develops a Boolean model of RA-FLS to predict drug synergies and identify therapeutic targets for rheumatoid arthritis.

npj Systems Biology and Applications · Jul 15, 2023Peer-reviewedSystems Biology

A versatile and interoperable computational framework for the analysis and modeling of COVID-19 disease mechanisms

Anna Niarakis, Marek Ostaszewski, Alexander Mazein, Inna Kuperstein, Martina Kutmon, Marc E. Gillespie, Akira Funahashi, Márcio Luís Acencio, Ahmed Abdelmonem Hemedan, Michael Aichem, Karsten Klein, Tobias Czauderna, Felicia Burtscher, Takahiro Yamada, Yusuke Hiki, , the COVID-19 Disease Map Community

The paper presents a computational framework for analyzing SARS-CoV-2-host interactions to identify drug targets and model disease mechanisms.

bioRxiv · Dec 17, 2022 · PreprintSystems Biology

COVID-19 Disease Map, a computational knowledge repository of SARS-CoV-2 virus-host interaction mechanisms

Marek Ostaszewski, Anna Niarakis, Alexander Mazein, Inna Kuperstein, Robert D. Phair, Aurelio Orta Resendiz, Vidisha Singh, Sara Sadat Aghamiri, Márcio Luís Acencio, Enrico Glaab, Andreas Ruepp, Gisela Fobo, Corinna Montrone, Barbara Brauner, Goar Frishman, , Özgün Babur

The paper describes the development of a computational knowledge repository, the COVID-19 Disease Map, which curates SARS-CoV-2 virus-host interaction mechanisms and provides tools for their analysis and application.

Molecular Systems Biology · Oct 1, 2021Peer-reviewedSystems Biology

Inference of an integrative, executable network for Rheumatoid Arthritis combining data-driven machine learning approaches and a state-of-the-art mechanistic disease map

Quentin Miagoux, Vidisha Singh, Dereck Mezquita, Valérie Chaudru, Mohamed Elati, Élisabeth Petit, Anna Niarakis

This paper integrates machine learning and a mechanistic disease map to infer an executable network for RA, identifying key transcription factors and treatment responses.

Journal of Personalized Medicine · Aug 12, 2021Peer-reviewedBioinformatics