PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity

BACKGROUND: Tumors are composed by a number of cancer cell subpopulations (subclones), characterized by a distinguishable set of mutations. This phenomenon, known as intra-tumor heterogeneity (ITH), may be studied using Copy Number Aberrations (CNAs). Nowadays ITH can be assessed at the highest poss...

Descripción completa

Detalles Bibliográficos
Autores principales: Montemurro, Marilisa, Grassi, Elena, Pizzino, Carmelo Gabriele, Bertotti, Andrea, Ficarra, Elisa, Urgese, Gianvito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254361/
https://www.ncbi.nlm.nih.gov/pubmed/34217219
http://dx.doi.org/10.1186/s12859-021-04277-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254361/
https://www.ncbi.nlm.nih.gov/pubmed/34217219
http://dx.doi.org/10.1186/s12859-021-04277-3

Ejemplares similares