Author

M. Huentelman

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:clinical cohort / trial· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

A. Hooyman· 1 shared A. Ruhe· 1 shared A. Sekulic· 1 shared B. Davis· 1 shared C. Khanna· 1 shared C. Legendre· 1 shared D. Thamm· 1 shared G. Post· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperScientific Communication & Education

A. Hooyman

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2 papers

Recent·Most cited

Residual-matching: An efficient alternative to random sampling in human subjects research recruitment

A. Hooyman, S. Y. Schaefer, M. Huentelman

The paper introduces residual-matching as a method to improve participant recruitment efficiency in human subjects research by reducing required sample sizes while maintaining statistical power.

bioRxiv · Apr 14, 2020 · PreprintScientific Communication & Education

Somatic inactivating PTPRJ mutations and dysregulated pathways identified in canine melanoma by integrated comparative genomic analysis

W. P. D. Hendricks, V. Zismann, K. Sivaprakasam, C. Legendre, K. Poorman, W. Tembe, J. Kiefer, W. Liang, V. DeLuca, M. Stark, A. Ruhe, R. Froman, N. Duesbury, M. Washington, J. Aldrich, , J. Trent

This study identifies somatic PTPRJ mutations and dysregulated pathways in canine melanoma through genomic analysis, revealing similarities with human melanoma subtypes and potential therapeutic targets.

bioRxiv · Sep 30, 2017Cancer Biology