Cargando…
Parametric modeling of cellular state transitions as measured with flow cytometry
BACKGROUND: Gradual or sudden transitions among different states as exhibited by cell populations in a biological sample under particular conditions or stimuli can be detected and profiled by flow cytometric time course data. Often such temporal profiles contain features due to transient states that...
Autores principales: | Ho, Hsiu J, Lin, Tsung I, Chang, Hannah H, Haase, Steven B, Huang, Sui, Pyne, Saumyadipta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358665/ https://www.ncbi.nlm.nih.gov/pubmed/22537009 http://dx.doi.org/10.1186/1471-2105-13-S5-S5 |
Ejemplares similares
-
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry
por: Azad, Ariful, et al.
Publicado: (2012) -
A Computational Framework to Emulate the Human Perspective in Flow Cytometric Data Analysis
por: Ray, Surajit, et al.
Publicado: (2012) -
Non-parametric Heat Map Representation of Flow Cytometry Data: Identifying Cellular Changes Associated With Genetic Immunodeficiency Disorders
por: Ellyard, Julia I., et al.
Publicado: (2019) -
Prognostic Significance of Circulating Plasma Cells by Multi-Parametric Flow Cytometry in Light Chain Amyloidosis
por: Sidana, Surbhi, et al.
Publicado: (2018) -
Multivariate Tail Probabilities: Predicting Regional Pertussis Cases in Washington State
por: Zhang, Xuze, et al.
Publicado: (2021)