Loss of conservation of graph centralities in reverse-engineered transcriptional regulatory networks

DOI10.1007/s11009-017-9554-7zbMath1379.05104OpenAlexW2601600590WikidataQ59611600 ScholiaQ59611600MaRDI QIDQ1694504

Sven Nelander, Patrik Johansson, Holger Weishaupt, Christopher Engström, Fredrik J. Swartling, Sergei D. Silvestrov

Publication date: 2 February 2018

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-017-9554-7

zbMATH Keywords

graph centralitysimulated gene expressiontranscriptional regulatory network inference

Mathematics Subject Classification ID

Applications of graph theory (05C90) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Systems biology, networks (92C42)

Related Items (1)

Graph Centrality Based Prediction of Cancer Genes

Uses Software

• Matlab
• WGCNA
• minet
• SynTReN
• ARACNE
• GeneNetWeaver
• Pathway Commons

Cites Work

• A faster algorithm for betweenness centrality*
• Graph Centrality Based Prediction of Cancer Genes
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