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Updated: Jun 24, 2025

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从使用机器学习方法的非编码RNA配置文件中,从早期和晚期肝癌之间的长非编码RNAs进行分类

Songtham Anuntakarun1, Jakkrit Khamjerm1,2, Pisit Tangkijvanich1

  • 1Center of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Bioinformatics and biology insights
|June 7, 2024
PubMed
概括

这项研究确定了长非编码RNAs (lncRNAs) 作为肝癌检测的潜在生物标志物. 机器学习模型有效地区分了早期和晚期阶段,突出了用于诊断和预后的特定 lncRNA.

关键词:
数据挖掘是数据挖掘的一个方法.肝癌 肝癌 是一种肝癌.在 lncRNAs 中.机器学习是机器学习.

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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