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细胞透预测剂:方法和数据集的比较分析

Karen Guerrero-Vázquez1,2, Gabriel Del Rio3, Carlos A Brizuela1

  • 1Department of Computer Science, CICESE Research Center, Ensenada, 22860, Mexico.

Molecular informatics
|September 6, 2023
PubMed
概括

数据集的相似性显著影响细胞透 (CPP) 预测器的性能. 训练数据的高序列相似性使得预测具有挑战性,强调需要强大的数据集来有效评估新的CPP预测因子.

关键词:
细胞透的类.数据集数据集数据集.机器学习是机器学习.序相似性 序相似性

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