Author

Miles J. McKenna

Colorado State UniversityORCID 0000-0001-6469-4353Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jared J. Luxton· 2 shared Lynn E. TayloriD· 2 shared Susan M. BaileyiD· 2 shared Aidan M. LewisiD· 1 shared Cem MeydaniD· 1 shared Christopher E. MasoniD· 1 shared Daniel ButleriD· 1 shared Daniela BezdaniD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersGenomics

Jared J. Luxton

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2 papers

Recent·Most cited

GenomicsGenome ResearchPeer-reviewedJul 1, 2021

Haplotype Diversity and Sequence Heterogeneity of Human Telomeres

Kirill A. Grigorev, Jonathan Foox, Daniela Bezdan…·Christopher E. Mason

This study uses long-read sequencing to analyze human telomere sequences, revealing sequence heterogeneity and non-canonical motifs.

49 citations

humanlong-read sequencing

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BioinformaticsJournal of Personalized MedicinePeer-reviewedMar 8, 2021

Telomere length and chromosomal instability for predicting individual radiosensitivity and risk via machine learning

Jared J. Luxton, Miles J. McKenna, Aidan M. Lewis…·Susan M. Bailey

The paper uses machine learning to predict individual radiosensitivity and risk based on telomere length and chromosomal instability data from prostate cancer patients undergoing radiotherapy.

21 citations

humanbulk RNA-seq

𝕏 PostBluesky