Cargando…
A Bayesian semi-parametric model for thermal proteome profiling
The thermal stability of proteins can be altered when they interact with small molecules, other biomolecules or are subject to post-translation modifications. Thus monitoring the thermal stability of proteins under various cellular perturbations can provide insights into protein function, as well as...
Autores principales: | Fang, Siqi, Kirk, Paul D. W., Bantscheff, Marcus, Lilley, Kathryn S., Crook, Oliver M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241860/ https://www.ncbi.nlm.nih.gov/pubmed/34188175 http://dx.doi.org/10.1038/s42003-021-02306-8 |
Ejemplares similares
-
A Bayesian mixture modelling approach for spatial proteomics
por: Crook, Oliver M., et al.
Publicado: (2018) -
A Bioconductor workflow for the Bayesian analysis of spatial proteomics
por: Crook, Oliver M., et al.
Publicado: (2019) -
A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection
por: Crook, Oliver M., et al.
Publicado: (2020) -
Bayesian non- and semi-parametric methods and applications
por: Rossi, Peter
Publicado: (2014) -
Bayesian Spatial Semi-Parametric Modeling of HIV Variation in Kenya
por: Ngesa, Oscar, et al.
Publicado: (2014)