Directed random walks and constraint programming reveal active pathways in hepatocyte growth factor signaling-Reference-Cited by-同舟云学术

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Directed random walks and constraint programming reveal active pathways in hepatocyte growth factor signaling

Published:2015-11-26 Issue:2 Volume:283 Page:350-360
ISSN:1742-464X
Container-title:FEBS Journal
language:en
Short-container-title:FEBS J

Author:

Kittas Aristotelis¹,Delobelle Aurélien²,Schmitt Sabrina³,Breuhahn Kai³,Guziolowski Carito²,Grabe Niels⁴

Affiliation:

1. Centre for Process Systems Engineering; Department of Chemical Engineering; University College London; UK

2. École Centrale de Nantes; IRCCyN UMR CNRS 6597; France

3. Institute of Pathology; University Hospital Heidelberg; Germany

4. Department of Medical Oncology; NCT; University Hospital Heidelberg; Germany

Funder

BMBF GERONTOSYS

BMBF MedSys: Chronic Wounds

Publisher

Wiley

Subject

Cell Biology,Molecular Biology,Biochemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/febs.13580/fullpdf

Reference36 articles.

1. Ten years of pathway analysis: current approaches and outstanding challenges;Khatri;PLoS Comput Biol,2012

2. An efficient algorithm for large-scale detection of protein families;Enright;Nucl Acids Res,2002

3. Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data;Komurov;PLoS Comput Biol,2010

4. Pathway discovery in metabolic networks by subgraph extraction;Faust;Bioinformatics (Oxford, England),2010

5. Integration of multiple data sources to prioritize candidate genes using discounted rating system;Li;BMC Bioinformatics,2010

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4. Formatting biological big data for modern machine learning in drug discovery;WIREs Computational Molecular Science;2018-12-27

5. Computational systems biology approaches for Parkinson’s disease;Cell and Tissue Research;2017-11-29

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