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TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data

De Sano L
•
Caravagna G
•
Ramazzotti D
altro
Antoniotti M
2016
  • journal article

Periodico
BIOINFORMATICS
Abstract
We introduce TRONCO (TRanslational ONCOlogy), an open-source R package that implements the state-of-the-art algorithms for the inference of cancer progression models from (epi)genomic mutational profiles. TRONCO can be used to extract population-level models describing the trends of accumulation of alterations in a cohort of cross-sectional samples, e.g., retrieved from publicly available databases, and individual-level models that reveal the clonal evolutionary history in single cancer patients, when multiple samples, e.g., multiple biopsies or single-cell sequencing data, are available. The resulting models can provide key hints in uncovering the evolutionary trajectories
DOI
10.1093/bioinformatics/btw035
WOS
WOS:000379734300070
Archivio
http://hdl.handle.net/11368/2956293
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84976515230
https://academic.oup.com/bioinformatics/article/32/12/1911/1743307
Diritti
closed access
license:copyright editore
FVG url
https://arts.units.it/request-item?handle=11368/2956293
Soggetti
  • Cancer

  • Bioinformatic

  • Machine Learning

Scopus© citazioni
19
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
21
Data di acquisizione
Feb 7, 2024
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