pyCancerSig: subclassifying human cancer with comprehensive single nucleotide, structural and microsatellite mutational signature deconstruction from whole genome sequencing

BACKGROUND: DNA damage accumulates over the course of cancer development. The often-substantial amount of somatic mutations in cancer poses a challenge to traditional methods to characterize tumors based on driver mutations. However, advances in machine learning technology can take advantage of this...

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Detalles Bibliográficos
Autores principales: Thutkawkorapin, Jessada, Eisfeldt, Jesper, Tham, Emma, Nilsson, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118897/
https://www.ncbi.nlm.nih.gov/pubmed/32245405
http://dx.doi.org/10.1186/s12859-020-3451-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118897/
https://www.ncbi.nlm.nih.gov/pubmed/32245405
http://dx.doi.org/10.1186/s12859-020-3451-8

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