Author

F. Perez-Villatoro

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· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

L. Kauppi· 2 shared A. Amiryousefi· 1 shared A. Chernenko· 1 shared A. Farkkila· 1 shared A. Färkkilä· 1 shared A. Vähärautio· 1 shared D. C. Gulhan· 1 shared H. Laivuori· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

L. Kauppi

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2 papers

Recent·Most cited

Tracing back primed resistance in cancer via sister cells

J. Dai, S. Zheng, M. M. Falco, J. Bao, J. Eriksson, S. Pikkusaari, S. Forsten, J. Jiang, W. Wang, L. Gao, F. Perez-Villatoro, O. Dufva, K. Saeed, Y. Wang, A. Amiryousefi, , A. Vähärautio

The paper introduces ReSisTrace, a method to identify pre-resistant cell states in cancer by analyzing sister cells, and validates its use in ovarian cancer models.

bioRxiv · Jul 6, 2022Cancer Biology

Optimized detection of allelic imbalances specific for homologous recombination deficiency improves the prediction of clinical outcomes in cancer

F. Perez-Villatoro, J. Oikkonen, J. Casado, A. Chernenko, D. C. Gulhan, M. Tumiati, Y. Li, K. Lavikka, S. Hietanen, J. Hynninen, U.-M. Haltia, J. S. Tyrmi, H. Laivuori, P. Konstantinopoulos, S. Hautaniemi, , A. Farkkila

The paper develops a tumor-specific method to detect allelic imbalances for HRD prediction, showing improved clinical outcome prediction in ovarian and breast cancers.

bioRxiv · Aug 19, 2021Cancer Biology