Author

Anuj Srivastava

Florida State UniversityORCID 0000-0001-7406-0338Unclaimed ORCID profile · follow to get notified of new preprints

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Anuj Srivastava1 paper

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 2 Assay:Hi-C· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Organism:human· 1

Frequent Co-Authors

Darshan BryneriD· 2 shared Nicola NerettiiD· 2 shared Carlos J. Soto· 1 shared Chi‐Ping DayiD· 1 shared Fred Huffer· 1 shared Michael Rosenthal· 1 shared P.-A. Absil· 1 shared Shane A. Evans· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Darshan BrynerORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 26, 2026

✦ In-depth digest

KSTITCH links cellular morphology and gene expression in spatial transcriptomics

Shashwat Kumar, Yingxiao Shi, Tuulia Vallius…·Vishaka Datta

STITCH pairs size-independent tangent-PCA contour shape modes with expression factors by canonical correlation, recovering keratinocyte, fibroblast and melanoma shape-expression links in Xenium and CosMx data.

DOI 10.64898/2026.06.07.730714

humanspatial transcriptomics

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BioinformaticsbioRxivPreprintAug 4, 2020

Towards A 3D Chromosome Shape Alphabet

Carlos J. Soto, Darshan Bryner, Nicola Neretti, Anuj Srivastava

This paper introduces a method to represent chromosome 3D shapes as sequences of shape letters, enabling analysis of structural variability using generalized sequence logos.

DOI 10.1101/2020.08.04.236224

Hi-Cstatistical model

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BioinformaticsbioRxivPreprintMay 7, 2018

Bayesian Estimation of 3D Chromosomal Structure from Single Cell Hi-C Data

Michael Rosenthal, Darshan Bryner, Fred Huffer…·Nicola Neretti

The paper develops a Bayesian method to infer 3D chromosomal structures from single-cell Hi-C data, incorporating bulk Hi-C as a prior to improve accuracy.

11 citations

Hi-CBayesian inference

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