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

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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Bibliographic Details
Main Authors: 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
Format: Online
Language:English
Published: Public Library of Science 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171480/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171480/

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