Trait Variability of Cancer Cells Quantified by High-Content Automated Microscopy of Single Cells

Mapping quantitative cell traits (QCT) to underlying molecular defects is a central challenge in cancer research because heterogeneity at all biological scales, from genes to cells to populations, is recognized as the main driver of cancer progression and treatment resistance. A major roadblock to a...

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Bibliographische Detailangaben
Hauptverfasser:	Quaranta, Vito, Tyson, Darren R., Garbett, Shawn P., Weidow, Brandy, Harris, Mark P., Georgescu, Walter
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Algorithms Biomarkers, Tumor - metabolism Cell Line Cell Proliferation Cellular Structures - ultrastructure Computational Biology - methods Computer Simulation Humans Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Image Processing, Computer-Assisted - standards Medical research Microscopy, Fluorescence - instrumentation Microscopy, Fluorescence - methods Microscopy, Fluorescence - standards Neoplasms - genetics Neoplasms - metabolism Neoplasms - pathology Phenotype Quality Control
Online-Zugang:	Volltext
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