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Updated: Jul 5, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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LPI-SKMSC:预测LncRNA-蛋白相互作用与细分k-mer频率和多空间聚类

Dian-Zheng Sun1, Zhan-Li Sun2, Mengya Liu3

  • 1School of Electrical Engineering and Automation, Anhui University, Hefei, 230601, China.

Interdisciplinary sciences, computational life sciences
|January 11, 2024
PubMed
概括

本研究介绍了LPI-SKMSC,这是一种用于预测长非编码RNA-蛋白相互作用 (LPIs) 的新计算方法. LPI-SKMSC有效处理不平衡的数据,提高LPI预测的准确性.

关键词:
不平衡的阳性和阴性样本.LncRNA蛋白相互作用多空间聚类多空间聚类.分段的 k-mer 频率.

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