Cargando…
Distribution-based measures of tumor heterogeneity are sensitive to mutation calling and lack strong clinical predictive power
Mutant allele frequency distributions in cancer samples have been used to estimate intratumoral heterogeneity and its implications for patient survival. However, mutation calls are sensitive to the calling algorithm. It remains unknown whether the relationship of heterogeneity and clinical outcome i...
Autores principales: | Noorbakhsh, Javad, Kim, Hyunsoo, Namburi, Sandeep, Chuang, Jeffrey H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065409/ https://www.ncbi.nlm.nih.gov/pubmed/30061557 http://dx.doi.org/10.1038/s41598-018-29154-7 |
Ejemplares similares
-
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
por: Noorbakhsh, Javad, et al.
Publicado: (2020) -
Whole-exome sequencing capture kit biases yield false negative mutation calls in TCGA cohorts
por: Wang, Victor G., et al.
Publicado: (2018) -
Mutations in DNA repair genes are associated with increased neo-antigen load and activated T cell infiltration in lung adenocarcinoma
por: Chae, Young Kwang, et al.
Publicado: (2017) -
Bacterial chemotaxis in a microfluidic T-maze reveals strong phenotypic heterogeneity in chemotactic sensitivity
por: Salek, M. Mehdi, et al.
Publicado: (2019) -
The Power of Heterogeneity: Parameter Relationships from Distributions
por: Röding, Magnus, et al.
Publicado: (2016)