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Updated: Jul 11, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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SSLpheno:一种自我监督的学习方法,用于使用蛋白质-蛋白质相互作用和基因本体学数据进行基因-表型关联预测

Xuehua Bi1,2, Weiyang Liang3, Qichang Zhao1

  • 1Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China.

Bioinformatics (Oxford, England)
|November 9, 2023
PubMed
概括

我们开发了SSLpheno,一种自我监督的学习方法,以改善基因-表型关联预测. 这种方法有效地解决了数据稀缺问题,优于现有的方法,特别是对于罕见疾病类别.

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