Cargando…
A data-driven approach for constructing mutation categories for mutational signature analysis
Mutational processes shape the genomes of cancer patients and their understanding has important applications in diagnosis and treatment. Current modeling of mutational processes by identifying their characteristic signatures views each base substitution in a limited context of a single flanking base...
Autores principales: | Gilad, Gal, Leiserson, Mark D. M., Sharan, Roded |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555780/ https://www.ncbi.nlm.nih.gov/pubmed/34665813 http://dx.doi.org/10.1371/journal.pcbi.1009542 |
Ejemplares similares
-
A mutation-level covariate model for mutational signatures
por: Kahane, Itay, et al.
Publicado: (2023) -
A mixture model for signature discovery from sparse mutation data
por: Sason, Itay, et al.
Publicado: (2021) -
DNA REPAIR FOOTPRINT UNCOVERS CONTRIBUTION OF DNA REPAIR MECHANISM TO MUTATIONAL SIGNATURES
por: Wojtowicz, Damian, et al.
Publicado: (2020) -
A Biterm Topic Model for Sparse Mutation Data
por: Sason, Itay, et al.
Publicado: (2023) -
Hidden Markov models lead to higher resolution maps of mutation signature activity in cancer
por: Wojtowicz, Damian, et al.
Publicado: (2019)