The Local Edge Machine: inference of dynamic models of gene regulation

We present a novel approach, the Local Edge Machine, for the inference of regulatory interactions directly from time-series gene expression data. We demonstrate its performance, robustness, and scalability on in silico datasets with varying behaviors, sizes, and degrees of complexity. Moreover, we d...

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Detalles Bibliográficos
Autores principales: McGoff, Kevin A., Guo, Xin, Deckard, Anastasia, Kelliher, Christina M., Leman, Adam R., Francey, Lauren J., Hogenesch, John B., Haase, Steven B., Harer, John L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5072315/
https://www.ncbi.nlm.nih.gov/pubmed/27760556
http://dx.doi.org/10.1186/s13059-016-1076-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5072315/
https://www.ncbi.nlm.nih.gov/pubmed/27760556
http://dx.doi.org/10.1186/s13059-016-1076-z

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