Network inference with ensembles of bi-clustering trees

Network inference with ensembles of bi-clustering trees

Abstract Background Network inference is crucial for biomedicine and systems biology. Biological entities and their associations are often modeled as interaction networks. Examples include drug protein interaction or gene regulatory networks. Studying and elucidating such networks can lead to the co...

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Bibliographic Details
Main Authors: Konstantinos Pliakos, Celine Vens
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Bioinformatics
Subjects:
Biomedical networks
Network inference
Interaction prediction
Tree-ensembles
Multi-label classification
Online Access:http://link.springer.com/article/10.1186/s12859-019-3104-y

Internet

http://link.springer.com/article/10.1186/s12859-019-3104-y

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