Author

Amar Koleti

University of Miami

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Dušica VidovićiD· 2 shared Stephan C. SchüreriD· 2 shared Vasileios StathiasiD· 2 shared Avi Ma’ayaniD· 1 shared Behrouz ShamsaeiiD· 1 shared Caty Chung· 1 shared Christopher C. Mader· 1 shared Cristian BologaiD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Dušica VidovićORCID

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Author profile →

2 papers

Recent·Most cited

Connecting omics signatures of diseases, drugs, and mechanisms of actions with iLINCS

Marcin Pilarczyk, Mehdi Fazel‐Najafabadi, Michal Kouril, Behrouz Shamsaei, Juozas Vasiliauskas, Wen Niu, Naim Al Mahi, Lixia Zhang, Nicholas A. Clark, Yan Ren, Shana White, Rashid Saadman Karim, Huan Xu, Jacek Biesiada, Mark F. Bennett, , Mario Medvedovic

iLINCS provides a web-based platform for analyzing omics signatures of diseases and cellular perturbations through integrative analytics and visualization tools.

Nature Communications · Aug 9, 2022Peer-reviewedBioinformatics

Drug Target Ontology to Classify and Integrate Drug Discovery Data

Yu Lin, Saurabh Mehta, Hande Küçük‐McGinty, John Paul Turner, Dušica Vidović, Michele Forlin, Amar Koleti, Ðắc-Trung Nguyễn, Lars Juhl Jensen, Rajarshi Guha, Stephen L. Mathias, Oleg Ursu, Vasileios Stathias, Jianbin Duan, Nooshin Nabizadeh, , Stephan C. Schürer

The paper introduces the Drug Target Ontology (DTO) to classify and integrate drug discovery data by formalizing druggable protein targets and their characteristics.

Journal of Biomedical Semantics · Nov 9, 2017Peer-reviewedBioinformatics