Cargando…
Defining order and timing of mutations during cancer progression: the TO-DAG probabilistic graphical model
Somatic mutations arise and accumulate both during tumor genesis and progression. However, the order in which mutations occur is an open question and the inference of the temporal ordering at the gene level could potentially impact on patient treatment. Thus, exploiting recent observations suggestin...
Autores principales: | Lecca, Paola, Casiraghi, Nicola, Demichelis, Francesca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602157/ https://www.ncbi.nlm.nih.gov/pubmed/26528329 http://dx.doi.org/10.3389/fgene.2015.00309 |
Ejemplares similares
-
Probabilistic graphical models : principles and techniques /
por: Koller, Daphne
Publicado: (2009) -
Advances in probabilistic graphical models
por: Lucas, Peter, et al.
Publicado: (2007) -
Probabilistic graphical modelling of early childhood caries development
por: Ugolini, Alessandro, et al.
Publicado: (2023) -
Reasoning with probabilistic and deterministic graphical models: exact algorithms
por: Dechter, Rina, et al.
Publicado: (2019) -
Probabilistic graphical models: principles and techniques
por: Koller, Daphne, et al.
Publicado: (2009)