Cargando…
Visualizing cellular imaging data using PhenoPlot
Visualization is essential for data interpretation, hypothesis formulation and communication of results. However, there is a paucity of visualization methods for image-derived data sets generated by high-content analysis in which complex cellular phenotypes are described as high-dimensional vectors...
Autores principales: | Sailem, Heba Z., Sero, Julia E., Bakal, Chris |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354266/ https://www.ncbi.nlm.nih.gov/pubmed/25569359 http://dx.doi.org/10.1038/ncomms6825 |
Ejemplares similares
-
Visualizing quantitative microscopy data: History and challenges
por: Sailem, Heba Z., et al.
Publicado: (2016) -
Identification of clinically predictive metagenes that encode components of a network coupling cell shape to transcription by image-omics
por: Sailem, Heba Z., et al.
Publicado: (2017) -
Cell shape and the microenvironment regulate nuclear translocation of NF-κB in breast epithelial and tumor cells
por: Sero, Julia E, et al.
Publicado: (2015) -
Cross-talk between Rho and Rac GTPases drives deterministic exploration of cellular shape space and morphological heterogeneity
por: Sailem, Heba, et al.
Publicado: (2014) -
Multiparametric Analysis of Cell Shape Demonstrates that β-PIX Directly Couples YAP Activation to Extracellular Matrix Adhesion
por: Sero, Julia E., et al.
Publicado: (2017)