Topology based data analysis identifies a subgroup of breast cancers with a unique mutational profile and excellent survival¶
Nicolau, Levine, & Carlsson. (2011). Topology based data analysis identifies a subgroup of breast cancers with a unique mutational profile and excellent survival. Proceedings of the National Academy of Sciences.
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Domain-specific¶
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- In a widely cited application, Nicolau, Levine, and Carlsson (PNAS, 2011) ran this pipeline on breast-cancer gene-expression data and isolated a distinct subgroup of tumors with markedly better survival that conventional clustering had missed.
This sourceReports a PAD analysis of breast-cancer transcriptional data that isolated an ER(+) subgroup with 100% survival and no metastasis, invisible to cluster methods.
Supported in partVerified against the publisher's abstract
“it is used here as an example to analyze breast cancer transcriptional data”
- In a widely cited application, Nicolau, Levine, and Carlsson (PNAS, 2011) ran this pipeline on breast-cancer gene-expression data and isolated a distinct subgroup of tumors with markedly better survival that conventional clustering had missed.
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