Modelling cancer progression using Mutual Hazard Networks

MOTIVATION: Cancer progresses by accumulating genomic events, such as mutations and copy number alterations, whose chronological order is key to understanding the disease but difficult to observe. Instead, cancer progression models use co-occurrence patterns in cross-sectional data to infer epistati...

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Detalles Bibliográficos
Autores principales: Schill, Rudolf, Solbrig, Stefan, Wettig, Tilo, Spang, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956791/
https://www.ncbi.nlm.nih.gov/pubmed/31250881
http://dx.doi.org/10.1093/bioinformatics/btz513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956791/
https://www.ncbi.nlm.nih.gov/pubmed/31250881
http://dx.doi.org/10.1093/bioinformatics/btz513

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