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Updated: Jun 18, 2025

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
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机器学习和生物信息学分析与肺腺癌发生和发展相关的诊断生物标志物

Yong Li1,2, Yunxiang Cai1, Longfei Ji1

  • 1Department of Clinical Laboratory, The First Affiliated Hospital of Huzhou University, The First People's Hospital of Huzhou City, Zhejiang Province, China.

PeerJ
|July 29, 2024
PubMed
概括

机器学习发现了三个关键基因,BUB1B,CENPF和PLK1,对于肺腺癌进展至关重要. 这些基因显示出这种主要癌症的诊断和预后生物标志物的潜力.

关键词:
生物信息学分析基因 基因 基因 基因 基因肺部腺癌是肺部的癌症.机器学习 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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