Author

Matthew McNeil

University of TorontoORCID 0000-0002-2821-6204Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Matthew McNeil1 paper · University of Auckland

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:electronic health records· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Eden FussneriD· 1 shared Eric G. RobertsiD· 1 shared Helena Alvarenga· 1 shared Maxwell W. LibbrechtiD· 1 shared Michael M. HoffmaniD· 1 shared Mickaël MendeziD· 1 shared Mike StraussiD· 1 shared Rachel C.W. ChaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperCell Biology

Eden FussnerORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintOct 30, 2026

The Structural Basis of Genome Silencing: The Inactive X Chromosome Resolved by Electron Spectroscopic Imaging

Zahra Baghestani, Helena Alvarenga, Ren Li…·Mike Strauss

This study uses Electron Spectroscopic Imaging to resolve the structural organization of the inactive X chromosome, revealing chromatin, RNA, and protein features in 3D.

DOI 10.64898/2026.10.28.761900

humanelectronic health records

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BioinformaticsbioRxivPreprintJan 30, 2020

Semi-supervised segmentation and genome annotation

Rachel C.W. Chan, Matthew McNeil, Eric G. Roberts…·Michael M. Hoffman

This paper introduces a semi-supervised method for genome annotation that improves accuracy by incorporating expert annotations and evaluates it using a new precision and recall metric.

1 citation

whole-genome sequencingstatistical model

𝕏 PostBluesky