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一种混合堆叠-SMOTE模型,用于优化自闭症基因的预测

Eman Ismail1, Walaa Gad2, Mohamed Hashem2

  • 1Information Systems Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt. emanismail@cis.asu.edu.eg.

BMC bioinformatics
|October 6, 2023
PubMed
概括

这项研究引入了一种新的Stack-SMOTE模型,可以准确预测自闭症谱系障碍 (ASD) 基因,达到95.5%的准确性. 该模型有效地处理不平衡的数据集,改善ASD的早期诊断.

关键词:
提升技术 提升技术组合学习学习 组合学习基因本体学是基因的本体学.基因预测 基因预测基因相似性功能的基因相似性功能.堆叠堆叠 在堆叠堆叠.

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