Author

L. Afeyan

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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Biochemistry· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1

Frequent Co-Authors

A. Font-Tello· 1 shared A. Gusev· 1 shared B. J. Abraham· 1 shared B. Y. Karlan· 1 shared C. Van Dongen· 1 shared D. Chaves-Moreira· 1 shared D.-C. Lin· 1 shared F. Abbasi· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

A. Font-Tello

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2 papers

Recent·Most cited

Protein codes promote selective subcellular compartmentalization

H. Kilgore, I. Chinn, P. Mikhael, I. Mitnikov, C. Van Dongen, G. Zylberberg, L. Afeyan, S. Banani, S. Wilson-Hawken, T. Lee, R. Barzialy, R. Young

This study introduces ProtGPS, a protein language model that predicts subcellular compartment localization and identifies mutations affecting this process.

bioRxiv · Apr 15, 2024Biochemistry

Predicting master transcription factors from pan-cancer expression data

J. Reddy, M. A. S. Fonseca, R. I. Corona, R. Nameki, F. Segato Dezem, I. A. Klein, H. Chang, D. Chaves-Moreira, L. Afeyan, T. M. Malta, X. Lin, F. Abbasi, A. Font-Tello, T. Sabedot, P. Cejas, , K. Lawrenson

This paper introduces CaCTS, an algorithm that identifies candidate master transcription factors (MTFs) across 34 cancer types using RNA-seq data, revealing novel MTFs and functional groupings.

bioRxiv · Nov 12, 2019Cancer Biology