Author

Matthew H. Bailey

Brigham Young UniversityORCID 0000-0003-4526-9727Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Adrian Ally· 2 shared Adrian Baez‐OrtegaiD· 2 shared Andreas BehreniD· 2 shared Andrew BerchuckiD· 2 shared Andrew P. BarbouriD· 2 shared Axel Aretz· 2 shared Beifang NiuiD· 2 shared Benjamin P. BermaniD· 2 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Adrian Ally

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Author profile →

4 papers

Recent·Most cited

Cellf-Deception: Human microglia clone 3 (HMC3) cells exhibit more astrocyte-like than microglia-like gene expression

Kylee K. Rahm, Branden S. Kinghorn, Myanna J. Moody, Ben C. Stone, Kaitlyn Strong, Brian S. Kim, Yen Jou Chang, Samantha Sleight, Alyssa A. Nitz, David V. Hansen, Matthew H. Bailey

The paper shows that HMC3 cells are more astrocyte-like than microglia-like, suggesting they are not a reliable microglia model.

Frontiers in Bioinformatics · Nov 4, 2025Peer-reviewedNeuroscience

A pan-cancer PDX histology image repository with genomic and pathological annotations for deep learning analysis

Brian S. White, X. Woo, Soner Koc, Todd Sheridan, Steven B. Neuhauser, Shidan Wang, Yvonne A. Evrard, John David Landua, R. Jay Mashl, Sherri R. Davies, Bingliang Fang, Maria Gabriela Raso, Kurt W. Evans, Matthew H. Bailey, Yeqing Chen, , Jeffrey H. Chuang

The paper presents a pan-cancer PDX histology image repository with genomic and pathological annotations for deep learning analysis of tumor regions and xenograft-transplant lymphoproliferative disorder prediction.

bioRxiv · Oct 26, 2022 · PreprintBioinformatics

Germline determinants of the somatic mutation landscape in 2,642 cancer genomes

Lauri A. Aaltonen, Federico Abascal, Adam A. Abeshouse, Hiroyuki Aburatani, David J. Adams, Nishant Agrawal, Keun Soo Ahn, Sung-Min Ahn, Hiroshi Aikata, Rehan Akbani, Kadir Caner Akdemir, Hikmat A Al‐Ahmadie, Sultan T. Al‐Sedairy, Fátima Al‐Shahrour, Malik Alawi, , Johann Sebastian De Bono

This study identifies germline genetic variants influencing somatic mutation patterns in 2,642 cancer genomes across 39 cancer types.

Nature · Feb 5, 2020Peer-reviewedGenomics

Comprehensive Molecular Characterization of Mitochondrial Genomes in Human Cancers

Yuan Yuan, Young Seok Ju, Young-Wook Kim, Jun Li, Yumeng Wang, Sung-Soo Yoon, Yang Yang, Iñigo Martincorena, Chad J. Creighton, John N. Weinstein, Yanxun Xu, Leng Han, Hyung‐Lae Kim, Hidewaki Nakagawa, Keunchil Park, , Mario Berríos

This study characterizes mitochondrial genomes in 2,700 cancer patients across 37 types using whole-genome sequencing and RNA-seq, revealing mutational patterns, truncating mutations, and nuclear transfer of mitochondrial DNA.

Nature Genetics · Feb 5, 2020Peer-reviewedGenomics