Author

M. A. S. Fonseca

Primary ORCID profile (0000-0003-2235-9156 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

M. A. S. FonsecaiD1 paper · Universidade de São Paulo

Biology Disciplines

Click to filter author papers

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

J.-H. Seo· 2 shared K. Lawrenson· 2 shared M. L. Freedman· 2 shared P. Cejas· 2 shared R. I. Corona· 2 shared A. Font-Tello· 1 shared A. Gusev· 1 shared A. Kaipainen· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 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

2 shared papersCancer Biology

J.-H. Seo

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Reprogramming of the FOXA1 cistrome in treatment-emergent neuroendocrine prostate cancer

S. C. Baca, D. Y. Takeda, J.-H. Seo, J. Hwang, S. Y. Ku, R. Arafeh, T. Arnoff, S. Agarwal, C. Bell, E. O'Connor, X. Qiu, S. Abu Alaiwi, R. I. Corona, M. A. S. Fonseca, C. Giambartolomei, , M. L. Freedman

The paper identifies FOXA1 reprogramming in NEPC and shows its role in maintaining NE lineage features through epigenomic profiling.

bioRxiv · Oct 23, 2020Cancer Biology

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