Author

X. S. Puente

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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Approach:machine learning (classical)· 2 Research Focus:clustering· 1 Assay:DNA methylation· 1 Organism:human· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

E. Campo· 2 shared F. Nadeu· 2 shared S. Bea· 2 shared A. Diaz-Navarro· 1 shared A. Lopez-Guillermo· 1 shared A. Queiros· 1 shared A. Rivas· 1 shared C. Lopez-Otin· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCancer Biology

E. Campo

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 11, 2022

RFcaller: a machine learning approach combined with read-level features to detect somatic mutations

A. Diaz-Navarro, P. Bousquets-Munoz, F. Nadeu…·X. S. Puente

RFcaller uses machine learning with read-level features to detect somatic mutations accurately and efficiently in tumor-normal paired samples.

DOI 10.1101/2022.05.11.491496

whole-genome sequencingwhole-exome sequencing

𝕏 PostBluesky

Cancer BiologybioRxivFeb 6, 2020

The proliferative history shapes the DNA methylome of B-cell tumors and predicts clinical outcome

M. Duran-Ferrer, G. Clot, F. Nadeu…·J. I. Martin-Subero

This study analyzes DNA methylation in B-cell tumors to show its relation to proliferative history and clinical outcomes, introducing a new mitotic clock for prognosis.

DOI 10.1038/s43018-020-00131-2

humanDNA methylation

𝕏 PostBluesky