Cargando…
Predicting cancer type from tumour DNA signatures
BACKGROUND: Establishing the cancer type and site of origin is important in determining the most appropriate course of treatment for cancer patients. Patients with cancer of unknown primary, where the site of origin cannot be established from an examination of the metastatic cancer cells, typically...
Autores principales: | Soh, Kee Pang, Szczurek, Ewa, Sakoparnig, Thomas, Beerenwinkel, Niko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706302/ https://www.ncbi.nlm.nih.gov/pubmed/29183400 http://dx.doi.org/10.1186/s13073-017-0493-2 |
Ejemplares similares
-
Identification of Constrained Cancer Driver Genes Based on Mutation Timing
por: Sakoparnig, Thomas, et al.
Publicado: (2015) -
Modeling Mutual Exclusivity of Cancer Mutations
por: Szczurek, Ewa, et al.
Publicado: (2014) -
Linear effects models of signaling pathways from combinatorial perturbation data
por: Szczurek, Ewa, et al.
Publicado: (2016) -
A mathematical model of the metastatic bottleneck predicts patient outcome and response to cancer treatment
por: Szczurek, Ewa, et al.
Publicado: (2020) -
BitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogenies
por: Yuan, Ke, et al.
Publicado: (2015)