Author

P. R. Carroll

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

C. L. Cario· 2 shared E. Chen· 2 shared I. Tenggara· 2 shared J. P. Simko· 2 shared J. S. Witte· 2 shared K. Lopez· 2 shared L. Leong· 2 shared P. L. Paris· 2 shared

Activity by Year

2020-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersCancer Biology

C. L. Cario

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Author profile →

3 papers

Recent·Most cited

A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer

C. L. Cario, E. Chen, L. Leong, N. C. Emami, K. Lopez, I. Tenggara, J. P. Simko, T. W. Friedlander, P. S. Li, P. L. Paris, P. R. Carroll, J. S. Witte

This paper uses machine learning to design a targeted sequencing panel for detecting tumor variants in cell-free DNA from prostate cancer patients, showing improved performance over existing methods.

BMC Cancer · Dec 1, 2020Peer-reviewedCancer Biology

Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states

H. Song, H. N. W. Weinstein, P. Allegakoen, M. H. Wadsworth, J. Xie, H. Yang, F. Y. Feng, P. R. Carroll, B. Wang, M. R. Cooperberg, A. K. Shalek, F. W. Huang

This study uses single-cell RNA-sequencing to analyze prostate cancer tumor microenvironment, identifying heterogeneous epithelial cell states and tumor-associated club cells.

bioRxiv · Nov 6, 2020Cancer Biology

Cell-free DNA as a biomarker for prostate cancer: elevated concentration and decreased fragment size

E. Chen, C. L. Cario, L. Leong, K. Lopez, C. Marquez, C. Chu, P. S. Li, E. Oropeza, I. Tenggara, J. Cowan, J. P. Simko, J. M. Chan, T. Friedlander, A. W. Wyatt, R. Aggarwal, , J. S. Witte

This study finds that higher plasma cfDNA concentrations and smaller fragment sizes are associated with more advanced prostate cancer.

bioRxiv · Jul 26, 2020 · PreprintCancer Biology