Author

R. Durrett

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

A. Al'Khafaji· 1 shared A. Brock· 1 shared C. Gutierrez· 1 shared C. J. Wu· 1 shared D. Neuberg· 1 shared E. Brenner· 1 shared H.-R. Tung· 1 shared K. E. Johnson· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

A. Al'Khafaji

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Signatures of neutral evolution in exponentially growing tumors: a theoretical perspective

H.-R. Tung, R. Durrett

The paper analyzes the site frequency spectrum in a two-type clonal evolution model to distinguish neutral evolution from advantageous mutation dynamics.

bioRxiv · Jul 29, 2020Cancer Biology

Expressed barcodes enable clonal characterization of chemotherapeutic responses in chronic lymphocytic leukemia

A. Al'Khafaji, C. Gutierrez, E. Brenner, R. Durrett, K. E. Johnson, W. Zhang, S. Li, K. J. Livak, D. Neuberg, A. Brock, C. J. Wu

This paper develops a method to study clonal responses to chemotherapy in CLL by combining barcoding with single-cell RNA sequencing, revealing that rare drug-tolerant clones dominate post-treatment populations.

bioRxiv · Sep 8, 2019Cancer Biology

Extrapolating Weak Selection in Evolutionary Games

Z. Wang, R. Durrett

This paper investigates the ranking of strategies in evolutionary games under weak selection by analyzing invadability probabilities as selection strength approaches zero.

bioRxiv · Jan 16, 2018Evolutionary Biology