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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Bibliografiske detaljer
Udgivet i:Genome Biol
Main Authors: 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.
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2016
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Method
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5072315/
https://ncbi.nlm.nih.gov/pubmed/27760556
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-016-1076-z
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