A Sparse Bayesian Learning Method for Structural Equation Model-Based Gene Regulatory Network Inference

A Sparse Bayesian Learning Method for Structural Equation Model-Based Gene Regulatory Network Inference

Gene regulatory networks (GRNs) are underlying networks identified by interactive relationships between genes. Reconstructing GRNs from massive genetic data is important for understanding gene functions and biological mechanism, and can provide effective service for medical treatment and genetic res...

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Bibliographic Details
Main Authors: Yan Li, Dayou Liu, Jianfeng Chu, Yungang Zhu, Jie Liu, Xiaochun Cheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Sparse Bayesian learning
high-dimensional data
gene regulatory network
gene expression data
structural equation model
Online Access:https://ieeexplore.ieee.org/document/9016010/

Internet

https://ieeexplore.ieee.org/document/9016010/

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