Using Dynamic Noise Propagation to Infer Causal Regulatory Relationships in Biochemical Networks

[Image: see text] Cellular decision making is accomplished by complex networks, the structure of which has traditionally been inferred from mean gene expression data. In addition to mean data, quantitative measures of distributions across a population can be obtained using techniques such as flow cy...

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Detalles Bibliográficos
Autores principales: Lipinski-Kruszka, Joanna, Stewart-Ornstein, Jacob, Chevalier, Michael W., El-Samad, Hana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4384829/
https://www.ncbi.nlm.nih.gov/pubmed/24967515
http://dx.doi.org/10.1021/sb5000059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4384829/
https://www.ncbi.nlm.nih.gov/pubmed/24967515
http://dx.doi.org/10.1021/sb5000059

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