Author

Mohsen Sharifitabar

The University of Texas at San Antonio Health Science CenterORCID 0009-0001-2119-0769Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Albert V. SmithiD· 1 shared Alexa BeiseriD· 1 shared Bruce M. PsatyiD· 1 shared Charles S DeCarliiD· 1 shared Chloé SarnowskiiD· 1 shared Claudia Liliana SatizábaliD· 1 shared David C. GlahniD· 1 shared David W. FardoiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Albert V. SmithORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJun 11, 2025

Whole genome sequence association analysis of brain structural volume measures in the NHLBI TOPMed Program highlights novel loci in diverse participants

Lincoln M. P. Shade, Mohsen Sharifitabar, Alexa Beiser…·Chloé Sarnowski

This study uses whole-genome sequence data from diverse participants to identify novel genetic loci associated with brain structural volumes, highlighting the importance of diverse cohorts in uncovering genetic architecture.

DOI 10.1101/2025.06.11.25329426

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintNov 20, 2024

A deep neural network to de-noise single-cell RNAsequencing data

Mohsen Sharifitabar, Shiva Kazempour Dehkordi, Seiied-Mohammad-Javad Razavian…·Habil Zare

ZiPo is a deep neural network that de-noises scRNA-seq data by modeling dropouts and improving performance through a scale-invariant loss term.

2 citations

scRNA-seqdeep learning

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