Abundance of connected motifs in transcriptional networks, a case study using random forests regression

Abundance of connected motifs in transcriptional networks, a case study using random forests regression

Biological network topologies are known to be robust despite internal and external perturbances. Motifs such as feed-forward loop and bifan have been marked to contribute to structural and functional significance. While network characteristics such as network density, average shortest path, and cent...

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Bibliographic Details
Main Authors: Syed Khajamoinuddin, Bhanu Kamapantula, Michael Mayo, Edward Perkins, Preetam Ghosh
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2016-12-01
Series:EAI Endorsed Transactions on Mobile Communications and Applications
Subjects:
motif connectivity
transcriptional networks
complex networks
vertex-shared motifs
connected motifs
Online Access:http://eudl.eu/doi/10.4108/eai.3-12-2015.2262520

Internet

http://eudl.eu/doi/10.4108/eai.3-12-2015.2262520

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