Identifying potential association on gene-disease network via dual hypergraph regularized least squares

Identifying potential association on gene-disease network via dual hypergraph regularized least squares

Abstract Background Identifying potential associations between genes and diseases via biomedical experiments must be the time-consuming and expensive research works. The computational technologies based on machine learning models have been widely utilized to explore genetic information related to co...

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Bibliographic Details
Main Authors: Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Genomics
Subjects:
Gene-disease association network
Hypergraph learning
Dual Laplacian regularized least squares
Bipartite network
Multiple kernel learning
Online Access:https://doi.org/10.1186/s12864-021-07864-z

Internet

https://doi.org/10.1186/s12864-021-07864-z

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