Author

R. Rockne

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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

D. Abler· 1 shared D. Maestrini· 1 shared G. Marcucci· 1 shared H. Cho· 1 shared N. Carlesso· 1 shared P. Sahoo· 1 shared S. Armenian· 1 shared S. Branciamore· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

D. Abler

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2 papers

Recent·Most cited

Mathematical modeling with single-cell sequencing data

H. Cho, R. Rockne

This paper compares graph- and continuum-based mathematical models for cell state transitions using single-cell RNA-sequencing data in hematopoiesis and applies them to study acute myeloid leukemia pathogenesis.

bioRxiv · Jul 22, 2019 · PreprintCell Biology

Aging in a relativistic biological space-time

D. Maestrini, D. Abler, V. Adhikarla, S. Armenian, S. Branciamore, N. Carlesso, G. Marcucci, Y.-H. Kuo, P. Sahoo, R. Rockne

This paper proposes a theoretical framework modeling biological aging as trajectories in a mathematical space-time, with applications to cancer and aging rates.

bioRxiv · Dec 5, 2017Cancer Biology