Capturing single-cell heterogeneity via data fusion improves image-based profiling.
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ABSTRACT:
SUBMITTER: Rohban MH
PROVIDER: S-EPMC6504923 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Publications
Capturing single-cell heterogeneity via data fusion improves image-based profiling.
Rohban Mohammad H MH Abbasi Hamdah S HS Singh Shantanu S Carpenter Anne E AE
Nature communications 20190507 1
Single-cell resolution technologies warrant computational methods that capture cell heterogeneity while allowing efficient comparisons of populations. Here, we summarize cell populations by adding features' dispersion and covariances to population averages, in the context of image-based profiling. We find that data fusion is critical for these metrics to improve results over the prior alternatives, providing at least ~20% better performance in predicting a compound's mechanism of action (MoA) an ...[more]
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