SPACe: an open-source, single-cell analysis of Cell Painting data

SPACe: an open-source, single-cell analysis of Cell Painting data

Abstract Phenotypic profiling by high throughput microscopy, including Cell Painting, has become a leading tool for screening large sets of perturbations in cellular models. To efficiently analyze this big data, available open-source software requires computational resources usually not available to...

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Bibliographic Details
Main Authors: Fabio Stossi, Pankaj K. Singh, Michela Marini, Kazem Safari, Adam T. Szafran, Alejandra Rivera Tostado, Christopher D. Candler, Maureen G. Mancini, Elina A. Mosa, Michael J. Bolt, Demetrio Labate, Michael A. Mancini
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-54264-4

Internet

https://doi.org/10.1038/s41467-024-54264-4

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