Inference of Tumor Evolution during Chemotherapy by Computational Modeling and In Situ Analysis of Genetic and Phenotypic Cellular Diversity
Cancer therapy exerts a strong selection pressure that shapes tumor evolution, yet our knowledge of how tumors change during treatment is limited. Here, we report the analysis of cellular heterogeneity for genetic and phenotypic features and their spatial distribution in breast tumors pre- and post-...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
Elsevier
2016
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Online Access: | http://hdl.handle.net/1721.1/101428 |