Quantification of the Heterogeneity of Prognostic Cellular Biomarkers in Ewing Sarcoma Using Automated Image and Random Survival Forest Analysis

Driven by genomic somatic variation, tumour tissues are typically heterogeneous, yet unbiased quantitative methods are rarely used to analyse heterogeneity at the protein level. Motivated by this problem, we developed automated image segmentation of images of multiple biomarkers in Ewing sarcoma to...

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Detalles Bibliográficos
Autores principales: Bühnemann, Claudia, Li, Simon, Yu, Haiyue, Branford White, Harriet, Schäfer, Karl L., Llombart-Bosch, Antonio, Machado, Isidro, Picci, Piero, Hogendoorn, Pancras C. W., Athanasou, Nicholas A., Noble, J. Alison, Hassan, A. Bassim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171480/
https://www.ncbi.nlm.nih.gov/pubmed/25243408
http://dx.doi.org/10.1371/journal.pone.0107105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171480/
https://www.ncbi.nlm.nih.gov/pubmed/25243408
http://dx.doi.org/10.1371/journal.pone.0107105

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