Cargando…
Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies
A comprehensive characterization of tumor genetic heterogeneity is critical for understanding how cancers evolve and escape treatment. Although many algorithms have been developed for capturing tumor heterogeneity, they are designed for analyzing either a single type of genomic aberration or individ...
Autores principales: | Liu, Jie, Halloran, John T., Bilmes, Jeffrey A., Daza, Riza M., Lee, Choli, Mahen, Elisabeth M., Prunkard, Donna, Song, Chaozhong, Blau, Sibel, Dorschner, Michael O., Gadi, Vijayakrishna K., Shendure, Jay, Blau, C. Anthony, Noble, William S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717219/ https://www.ncbi.nlm.nih.gov/pubmed/29208983 http://dx.doi.org/10.1038/s41598-017-16813-4 |
Ejemplares similares
-
Participant Attitudes Toward an Intensive Trial of Multiple Biopsies, Multidimensional Molecular Analysis, and Reporting of Results in Metastatic Triple-Negative Breast Cancer
por: Kuderer, Nicole M., et al.
Publicado: (2017) -
Inferring Clonal Composition from Multiple Sections of a Breast Cancer
por: Zare, Habil, et al.
Publicado: (2014) -
Safety, Feasibility, and Merits of Longitudinal Molecular Testing of Multiple Metastatic Sites to Inform mTNBC Patient Treatment in the Intensive Trial of Omics in Cancer
por: Burton, Kimberly A., et al.
Publicado: (2022) -
A Three-Dimensional Model of the Yeast Genome
por: Duan, Zhijun, et al.
Publicado: (2010) -
Inferring clonal composition from multiple tumor biopsies
por: Manica, Matteo, et al.
Publicado: (2020)