From Pixels to Phenotypes: Integrating Image-Based Profiling with Cell Health Data Improves Interpretability.

Journal

Molecular biology of the cell
ISSN: 1939-4586
Titre abrégé: Mol Biol Cell
Pays: United States
ID NLM: 9201390

Informations de publication

Date de publication:
03 Jan 2024
Historique:
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 3 1 2024
Statut: aheadofprint

Résumé

Cell Painting assays generate morphological profiles that are versatile descriptors of biological systems and have been used to predict

Identifiants

DOI: 10.1091/mbc.E23-08-0298 PMID: 38170589
pubmed: 38170589
doi: 10.1091/mbc.E23-08-0298
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

mbcE23080298

Auteurs

Srijit Seal (S)

Imaging Platform, Broad Institute of MIT and Harvard, Cambridge MA, USA.
Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom.

Jordi Carreras-Puigvert (J)

Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Shantanu Singh (S)

Imaging Platform, Broad Institute of MIT and Harvard, Cambridge MA, USA.

Anne E Carpenter (AE)

Imaging Platform, Broad Institute of MIT and Harvard, Cambridge MA, USA.

Ola Spjuth (O)

Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Andreas Bender (A)

Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom.

Classifications MeSH