线,

Junjie Shen1, Shuo Wang2, Yongfei Dong1

  • 1Department of Biostatistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, No. 199 Renai Road, Suzhou, 215123, Jiangsu, People's Republic of China.

BMC bioinformatics
|March 21, 2024
PubMed
概括

这项研究引入了一种新的堆叠方法,使用非负的尖和板拉索 (nsslasso) 用于用omics数据预测疾病风险. 纳斯拉索堆叠方法提高了预测准确性,并确定了关键的生物结构.

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