RefCell: multi-dimensional analysis of image-based high-throughput screens based on 'typical cells'.

ABSTRACT:

Background

Image-based high-throughput screening (HTS) reveals a high level of heterogeneity in single cells and multiple cellular states may be observed within a single population. Currently available high-dimensional analysis methods are successful in characterizing cellular heterogeneity, but suffer from the "curse of dimensionality" and non-standardized outputs.

Results

Here we introduce RefCell, a multi-dimensional analysis pipeline for image-based HTS that reproducibly captures cells with typical combinations of features in reference states and uses these "typical cells" as a reference for classification and weighting of metrics. RefCell quantitatively assesses heterogeneous deviations from typical behavior for each analyzed perturbation or sample.

Conclusions

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SUBMITTER: Shen Y 

PROVIDER: S-EPMC6240236 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature