RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique

RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique

Background: Current gene regulatory network (GRN) inference methods are notorious for a great number of indirect interactions hidden in the predictions. Filtering out the indirect interactions from direct ones remains an important challenge in the reconstruction of GRNs. To address this issue, we de...

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Bibliographic Details
Main Authors: Jiang, X. (Author), Zhang, X. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Background current
Constrained optimization
Escherichia coli
Gene expression
Gene regulatory network
Gene regulatory networks
Gold standards
Indirect interaction
Indirect interactions
Inference methods
Network enhancement
Network inference
Performance
Redundancy
Redundancy silencing
Simulation studies
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