Author

Abhinav Garg

Nference (India)ORCID 0000-0001-5082-5500Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

AJ VenkatakrishnaniD· 2 shared Akash Anand· 2 shared David ZemmouriD· 2 shared Enrique Garcia-RiveraiD· 2 shared Rakesh D. BarveiD· 2 shared Ramakrishna Chilaka· 2 shared Venky SoundararajaniD· 2 shared Akhil Kasaraneni· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersGenomics

AJ VenkatakrishnanORCID

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2 papers

Recent·Most cited

GenomicsGenesPeer-reviewedJun 10, 2021

A literature-derived knowledge graph augments the interpretation of single cell RNA-seq datasets

Deeksha Doddahonnaiah, Patrick J. Lenehan, Travis K. Hughes…·Venky Soundararajan

This study uses a literature-derived knowledge graph to improve scRNA-seq annotation by leveraging gene-cell type associations from biomedical texts.

11 citations

𝕏 PostBluesky

GenomicseLifePeer-reviewedMay 28, 2020

Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors

AJ Venkatakrishnan, Arjun Puranik, Akash Anand…·Venky Soundararajan

The paper uses a data science platform to integrate biomedical text and single-cell RNA-seq data to identify new SARS-CoV-2 receptor expression patterns and potential infection targets.

79 citations

𝕏 PostBluesky