Group-shrinkage feature selection with a spatial network for mining DNA methylation data

Identifying disease-related biomarkers from high-dimensional DNA methylation data helps in reducing early screening costs and inferring pathogenesis mechanisms. Good discovery results have been achieved through spatial correlation methods of methylation sites, group-based regularization, and network...

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Bibliographic Details
Main Authors: Tang, Xinlu, Mo, Zhanfeng, Chang, Cheng, Qian, Xiaohua
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/170639
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Institution: Nanyang Technological University
Language: English