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...
| Main Authors: | , , , , , , , , , , , |
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| 格式: | Journal article |
| 语言: | English |
| 出版: |
Public Library of Science
2014
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