Cargando…
Assignment of unimodal probability distribution models for quantitative morphological phenotyping
BACKGROUND: Cell morphology is a complex and integrative readout, and therefore, an attractive measurement for assessing the effects of genetic and chemical perturbations to cells. Microscopic images provide rich information on cell morphology; therefore, subjective morphological features are freque...
Autores principales: | Ghanegolmohammadi, Farzan, Ohnuki, Shinsuke, Ohya, Yoshikazu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969357/ https://www.ncbi.nlm.nih.gov/pubmed/35361198 http://dx.doi.org/10.1186/s12915-022-01283-6 |
Ejemplares similares
-
Defining Functions of Mannoproteins in Saccharomyces cerevisiae by High-Dimensional Morphological Phenotyping
por: Ghanegolmohammadi, Farzan, et al.
Publicado: (2021) -
Unveiling nonessential gene deletions that confer significant morphological phenotypes beyond natural yeast strains
por: Yang, Ming, et al.
Publicado: (2014) -
Unimodality of probability measures
por: Bertin, Emile M J, et al.
Publicado: (1997) -
High-dimensional single-cell phenotyping reveals extensive haploinsufficiency
por: Ohnuki, Shinsuke, et al.
Publicado: (2018) -
Systematic analysis of Ca(2+) homeostasis in Saccharomyces cerevisiae based on chemical-genetic interaction profiles
por: Ghanegolmohammadi, Farzan, et al.
Publicado: (2017)