Author

Niloofar Torki

University of TehranORCID 0009-0009-3999-5651Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Organism:human· 1

Frequent Co-Authors

Mahdi AnvariiD· 1 shared Mahya MehrmohamadiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Mahdi AnvariORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 4, 2026

The Segmentome: a novel representation of the DNA methylome identified by a Bayesian HMM framework

Mahdi Anvari, Niloofar Torki, Mahya Mehrmohamadi

The paper introduces the segmentome, a DNA methylome representation using a Bayesian HMM, and shows it can group cell types and identify cell-of-origin in DNA samples.

DOI 10.64898/2026.11.01.763464

humanDNA methylation

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