Author

Elena Tuzhilina

University of TorontoORCID 0000-0002-1898-6010Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Assay:Hi-C· 2 Organism:human· 2 Research Focus:variant calling· 2 Approach:Bayesian inference· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Mark Robert SegaliD· 2 shared Trevor J. HastieiD· 2 shared Daniel Diniz De CarvalhoiD· 1 shared Keaton W SmithiD· 1 shared Michael M. HoffmaniD· 1 shared Natalie YueniD· 1 shared Nicholas ChengiD· 1 shared Philip AwadallaiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Mark Robert SegalORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 20, 2026

Enrichment of methylated cell-free placental DNA

Keaton W Smith, Natalie Yuen, Shu Yi Shen…·Michael M. Hoffman

The paper uses cfMeDIP-seq to analyze cell-free placental DNA methylation in maternal plasma, identifying enriched regions associated with preterm birth and IUGR.

DOI 10.64898/2026.08.17.745276

humanDNA methylation

BioinformaticsThe Annals of Applied StatisticsPeer-reviewedOct 31, 2024

Statistical curve models for inferring 3D chromatin architecture

Elena Tuzhilina, Trevor J. Hastie, Mark Robert Segal

The paper improves a method for inferring 3D chromatin structure from Hi-C data by introducing a new framework that addresses initialization issues and extends distribution models for contact counts.

2 citations

mouseHi-C

BioinformaticsBiostatisticsPeer-reviewedSep 30, 2020

Principal Curve Approaches For Inferring 3D Chromatin Architecture

Elena Tuzhilina, Trevor J. Hastie, Mark Robert Segal

This paper introduces a principal curve method for inferring 3D chromatin architecture from Hi-C data, showing its utility and reproducibility in reconstructing chromosome structures.

10 citations

humanHi-C