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EMCMDA:通过高效的矩阵完成预测miRNA疾病关联.

Chao Qin1, Jiancheng Zhang2, Lingyu Ma3

  • 1School of Information Science and Engineering, Qilu Normal University, Jinan, 250200, China. 20155612@qlnu.edu.cn.

Scientific reports
|June 4, 2024
PubMed
概括

这项研究介绍了高效矩阵完成 (EMCMDA),这是一种用于预测微RNA (miRNA) -疾病关联的新计算方法. EMCMDA准确地识别了与疾病相关的新型miRNA,为传统的实验验证提供了更快的替代方案.

关键词:
不同质的信息网络 不同质的信息网络完成矩阵的完成.与miRNA疾病的关联多个来源的相似性.截断的 schatten p-norm 的时间.

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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