CSGDN:-

Yiru Pan1, Xingyu Ji1, Jiaqi You1

  • 1National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, 430070 Hubei, China.

Briefings in bioinformatics
|February 20, 2025
PubMed
概括

一个新的对比签名图谱扩散网络 (CSGDN) 模型提高了基因-表型关联预测的准确性. 这种方法减少了对大样本大小的需求,并将实验噪声降到最低,以获得强大的生物见解.

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