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Updated: Jul 1, 2025

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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TransGCN:一个基于半监控图形卷积网络的框架,用于推断空间时间蛋白质组学中的蛋白质转位

Bing Wang1,2, Xiangzheng Zhang1, Xudong Han1,2

  • 1Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.

Briefings in bioinformatics
|March 1, 2024
PubMed
概括

TransGCN是一种新型的半监督图形卷积网络 (GCN),可以从时空蛋白质组学数据准确地识别蛋白质转位事件. 这种方法改进了现有的技术,特别是处理批量效应和预测蛋白质亚细胞局部化 (PSL).

关键词:
图形卷积网络的图形卷积网络.质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量蛋白质细胞下定位的定位.蛋白质转位的转位是蛋白质转位.半监督学习 半监督学习时间空间蛋白质组学

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