Cargando…
Predicting cell health phenotypes using image-based morphology profiling
Genetic and chemical perturbations impact diverse cellular phenotypes, including multiple indicators of cell health. These readouts reveal toxicity and antitumorigenic effects relevant to drug discovery and personalized medicine. We developed two customized microscopy assays, one using four targeted...
Autores principales: | Way, Gregory P., Kost-Alimova, Maria, Shibue, Tsukasa, Harrington, William F., Gill, Stanley, Piccioni, Federica, Becker, Tim, Shafqat-Abbasi, Hamdah, Hahn, William C., Carpenter, Anne E., Vazquez, Francisca, Singh, Shantanu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108524/ https://www.ncbi.nlm.nih.gov/pubmed/33534641 http://dx.doi.org/10.1091/mbc.E20-12-0784 |
Ejemplares similares
-
Capturing single-cell heterogeneity via data fusion improves image-based profiling
por: Rohban, Mohammad H., et al.
Publicado: (2019) -
Global computational alignment of tumor and cell line transcriptional profiles
por: Warren, Allison, et al.
Publicado: (2021) -
Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic
por: Chow, Yuen Ler, et al.
Publicado: (2022) -
Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects
por: Singh, Shantanu, et al.
Publicado: (2015) -
Complementary information derived from CRISPR Cas9 mediated gene deletion and suppression
por: Rosenbluh, Joseph, et al.
Publicado: (2017)