Improving network inference algorithms using resampling methods

Improving network inference algorithms using resampling methods

Abstract Background Relatively small changes to gene expression data dramatically affect co-expression networks inferred from that data which, in turn, can significantly alter the subsequent biological interpretation. This error propagation is an underappreciated problem that, while hinted at in the...

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Bibliographic Details
Main Authors: Sean M Colby, Ryan S McClure, Christopher C Overall, Ryan S Renslow, Jason E McDermott
Format: Article
Language:English
Published: BMC 2018-10-01
Series:BMC Bioinformatics
Subjects:
Gene regulatory network inference
Random subspace method
Resampling
Bootstrapping
Aggregation
Online Access:http://link.springer.com/article/10.1186/s12859-018-2402-0

Internet

http://link.springer.com/article/10.1186/s12859-018-2402-0

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