Image-based spatiotemporal causality inference for protein signaling networks

MOTIVATION: Efforts to model how signaling and regulatory networks work in cells have largely either not considered spatial organization or have used compartmental models with minimal spatial resolution. Fluorescence microscopy provides the ability to monitor the spatiotemporal distribution of many...

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Опубликовано в: :Bioinformatics
Главные авторы: Ruan, Xiongtao, Wülfing, Christoph, Murphy, Robert F
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2017
Предметы:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5870542/
https://ncbi.nlm.nih.gov/pubmed/28881992
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx258
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