Author

M. C. Oldham

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

S. J. Shelton· 2 shared A. H. Shain· 1 shared B. C. Bastian· 1 shared B. E. Johnson· 1 shared D. A. Lim· 1 shared D. J. Brody· 1 shared E. J. Huang· 1 shared I. Yeh· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersCancer Biology

S. J. Shelton

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2 papers

Recent·Most cited

Deconstructing Intratumoral Heterogeneity through Multiomic and Multiscale Analysis of Serial Sections

P. G. Schupp, S. J. Shelton, D. J. Brody, R. Eliscu, B. E. Johnson, T. Mazor, K. W. Kelley, M. B. Potts, M. W. McDermott, E. J. Huang, D. A. Lim, R. O. Pieper, M. S. Berger, J. F. Costello, J. J. Phillips, M. C. Oldham

This study develops MOMA, a multiomic and multiscale analysis method to deconstruct intratumoral heterogeneity in IDH-mutant astrocytomas, revealing molecular features and spatial distributions of malignant clones.

bioRxiv · Jun 21, 2023Cancer Biology

A machine-learning classifier trained with microRNA ratios to distinguish melanomas from nevi

R. Torres, U. E. Lang, M. Hejna, S. J. Shelton, N. M. Joseph, A. H. Shain, I. Yeh, M. L. Wei, M. C. Oldham, B. C. Bastian, R. L. Judson-Torres

This study develops a machine learning classifier using microRNA ratios to distinguish melanomas from nevi, achieving 83% sensitivity and 71-83% specificity across multiple datasets.

bioRxiv · Dec 27, 2018 · PreprintCancer Biology