生物库规模的方法和预测,用于机器学习的稀疏多基因预测

Timothy G Raben1, Louis Lello2,3, Erik Widen2,3

  • 1Department of Physics and Astronomy, Michigan State University, Michigan, USA. rabentim@msu.edu.

Scientific reports
|July 19, 2023
PubMed
概括

训练数据的大小是多基因分数的关键. 稀有机器学习,特别是LASSO,表现良好,性能主要来自数据量,而不仅仅是算法. 未来的预测者显示出跨祖先的承诺.

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