Author

Aditya Bhaskara

University of UtahORCID 0000-0001-5505-3140Unclaimed 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:batch correction / integration· 1 Assay:bulk RNA-seq· 1 Research Focus:dimensionality reduction· 1 Approach:graph neural network· 1 Research Focus:imputation· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Balagurunathan KuberaniD· 1 shared Benjamin T. SpikeiD· 1 shared Diem-Trang T. TraniD· 1 shared Elnaz Mirzaei MehrabadiD· 1 shared Matthew Might· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Balagurunathan KuberanORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 29, 2021

Factorization-based Imputation of Expression in Single-cell Transcriptomic Analysis (FIESTA) recovers Gene-Cell-State Relationships

Elnaz Mirzaei Mehrabad, Aditya Bhaskara, Benjamin T. Spike

FIESTA imputes missing values in scRNA-seq data using non-negative matrix factorization, improving gene-cell-state relationships and marker discovery.

2 citations

scRNA-seqstatistical model

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BioinformaticsPLoS ONEPeer-reviewedJan 24, 2020

A graph-based algorithm for RNA-seq data normalization

Diem-Trang T. Tran, Aditya Bhaskara, Matthew Might, Balagurunathan Kuberan

This paper introduces a graph-based normalization algorithm for RNA-seq data that improves reference transcript recovery and normalization quality without relying on prior assumptions or reference transcripts.

16 citations

bulk RNA-seqgraph neural network

𝕏 PostBluesky