Author

Vishal Joshi

European Bioinformatics InstituteORCID 0000-0002-2542-8885Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew NightingaleiD· 2 shared Maria Jesus MartiniD· 2 shared Rabie SaidiiD· 2 shared Tunca DoğaniD· 2 shared Abdulrahman HusseiniD· 1 shared Ahmet K. AtakaniD· 1 shared Ahmet Süreyya RifaioğluiD· 1 shared Alan James BridgeiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Andrew NightingaleORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedDec 9, 2022

Annotation of biologically relevant ligands in UniProtKB using ChEBI

Elisabeth Coudert, Sébastien Géhant, Edouard de Castro…·Elena Speretta

The paper reannotates ligand binding sites in UniProtKB using ChEBI identifiers and improves search facilities for these annotations.

350 citationstop 1%

protein sequencestatistical model

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedJun 11, 2021

CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations

Tunca Doğan, Heval Ataş, Vishal Joshi…·Volkan Atalay

The paper introduces CROssBAR, a resource that integrates biomedical data and uses deep learning to predict entity relations, displaying results in knowledge graphs for systems-level analysis of diseases like COVID-19.

44 citations

deep learningdatabase / resource

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