| License: Creative Commons Attribution 4.0 PDF - Published Version (27MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-433569
- DOI to cite this document:
- 10.5283/epub.43356
Abstract
The majority of cancer evolution studies involve individual-based approaches that neglect the population dynamics necessary to build a global picture of cancer evolution for each cancer type. Here, we conducted a population-based study in breast cancer to understand the timing of malignancy evolution and its correlation to the genetic evolution of pathological stages. In an omics integrative ...

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