Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies
Abstract 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 o...
Guardado en:
Autores principales: | Jie Liu, John T. Halloran, Jeffrey A. Bilmes, Riza M. Daza, Choli Lee, Elisabeth M. Mahen, Donna Prunkard, Chaozhong Song, Sibel Blau, Michael O. Dorschner, Vijayakrishna K. Gadi, Jay Shendure, C. Anthony Blau, William S. Noble |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c58b18b457184aafaf83bba3e97a5fdf |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Some aspects of allogeneic stem cell transplantation in patients with myelodysplastic syndrome: advances and controversy
por: Blau O, et al.
Publicado: (2014) -
Online Teaching Effectiveness: A Tale of Two Instructors
por: Paul Gorsky, et al.
Publicado: (2009) -
SciClone: inferring clonal architecture and tracking the spatial and temporal patterns of tumor evolution.
por: Christopher A Miller, et al.
Publicado: (2014) -
Capturing cell type-specific chromatin compartment patterns by applying topic modeling to single-cell Hi-C data.
por: Hyeon-Jin Kim, et al.
Publicado: (2020) -
Toward a CoI population parameter: The impact of unit (sentence vs. message) on the results of quantitative content analysis
por: Paul Gorsky, et al.
Publicado: (2012)