PCSF: An R-package for network-based interpretation of high-throughput data-Reference-Cited by-同舟云学术

PCSF: An R-package for network-based interpretation of high-throughput data

Published:2017-07-31 Issue:7 Volume:13 Page:e1005694
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Akhmedov Murodzhon,Kedaigle Amanda^ORCID,Chong Renan Escalante^ORCID,Montemanni Roberto^ORCID,Bertoni Francesco^ORCID,Fraenkel Ernest^ORCID,Kwee Ivo^ORCID

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

National Institutes of Health

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference15 articles.

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2. BioNet: an R-package for the Functional Analysis of Biological Networks;D. Beisser,2010

3. Finding undetected protein associations in cell signaling by belief propagation;M. Bailly-Bechet,2010

4. Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package;N. Tuncbag,2016

5. A divide and conquer matheuristic algorithm for the Prize-collecting Steiner Tree Problem;M Akhmedov,2016

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