Image-based multivariate profiling of drug responses from single cells

Abstract

Quantitative analytical approaches for discovering new compound mechanisms are required for summarizing high-throughput, image-based drug screening data. Here we present a multivariate method for classifying untreated and treated human cancer cells based on ∼300 single-cell phenotypic measurements. This classification provides a score, measuring the… (More)
DOI: 10.1038/nmeth1032

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