Image-based spatiotemporal causality inference for protein signaling networks-Reference-Cited by-同舟云学术

Image-based spatiotemporal causality inference for protein signaling networks

Published:2017-07-12 Issue:14 Volume:33 Page:i217-i224
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Ruan Xiongtao¹,Wülfing Christoph²,Murphy Robert F¹³⁴

Affiliation:

1. Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

2. School of Cellular and Molecular Medicine, University of Bristol, Bristol BS, UK

3. Departments of Biological Sciences, Biomedical Engineering, and Machine Learning, Carnegie Mellon University, Pittsburgh, PA, USA

4. Freiburg Institute for Advanced Studies and Faculty of Biology, Albert Ludwig University of Freiburg, Freiburg im Breisgau, Baden-Württemberg, Germany

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/14/i217/25156977/btx258.pdf

Reference22 articles.

1. Computational modeling of cellular signaling processes embedded into dynamic spatial contexts;Angermann;Nat. Methods,2012

2. Distributed optimization and statistical learning via the alternating direction method of multipliers;Boyd;Found. Trends Mach. Learn,2011

3. The actin cytoskeleton in T cell activation;Burkhardt;Annu. Rev. Immunol,2008

4. Causal reasoning on biological networks: interpreting transcriptional changes;Chindelevitch;Bioinformatics,2012

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