Author

Abhilash Suresh

National Institutes of HealthORCID 0009-0009-4964-4222Unclaimed 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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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Fayaz SeifuddiniD· 2 shared Komudi SinghiD· 2 shared Mehdi PiroozniaiD· 2 shared Adrian U. WiestneriD· 1 shared Chingiz UnderbayeviD· 1 shared Clare SuniD· 1 shared Fernando S. GoesiD· 1 shared Haiming CaoiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Fayaz SeifuddinORCID

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2 papers

Recent·Most cited

BioinformaticsScientific DataPeer-reviewedOct 5, 2020

lncRNAKB: A comprehensive knowledgebase of long non-coding RNAs

Fayaz Seifuddin, Komudi Singh, Abhilash Suresh…·Mehdi Pirooznia

The paper introduces lncRNAKB, a comprehensive knowledgebase of 77,199 human lncRNAs with expression, conservation, and cis-eQTL data from GTEx.

74 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedOct 1, 2019

IKAP - Identifying K mAjor cell Population groups in single-cell RNA-seq analysis

Yun-Ching Chen, Abhilash Suresh, Chingiz Underbayev…·Mehdi Pirooznia

IKAP improves identification of major cell types in single-cell RNA-seq by tuning clustering parameters to enhance differentiation between cell groups.

26 citations

scRNA-seqstatistical model

𝕏 PostBluesky