Author

C. Chaffer

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

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

A. Tong· 1 shared A. Venkat· 1 shared B. Perez San Juan· 1 shared C. Liu· 1 shared D. Bhaskar· 1 shared J. G. Lock· 1 shared L. Rangel· 1 shared M. Kuchroo· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. Tong

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1 paper

Recent·Most cited

Revealing dynamic temporal trajectories and underlying regulatory networks with Cflows

X. Sun, S. Gupta, A. Tong, M. Kuchroo, D. Bhaskar, C. Liu, A. Venkat, B. Perez San Juan, L. Rangel, V. Rodriguez, J. G. Lock, C. Chaffer, S. Krishnaswamy

Cflows infers continuous cell state transitions and gene regulatory networks from static scRNA-seq data, revealing ESRRA as a key driver of tumor formation.

bioRxiv · Mar 28, 2023 · PreprintCancer Biology