相关实验视频

Updated: Jun 30, 2026

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay
12:49

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

基于深度学习的序列和结构信息的整合,以有效预测miRNA-药物关联

Nan Sheng1, Yunzhi Liu1, Ling Gao1

  • 1Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, ChangChun 130012, China.

Journal of chemical information and modeling
|May 17, 2025
PubMed
概括

这项研究介绍了DLST-MDA,这是一种新的深度学习方法,用于预测微RNA与药物相关性 (MDA). 它有效地使用序列和结构数据,优于癌症耐药性研究的现有计算方法.

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mirMachine: A One-Stop Shop for Plant miRNA Annotation

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MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method09:06

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

Published on: October 7, 2025

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MicroRNAs01:22

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RNA Interference

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RNA-seq

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Nucleic Acid Structure

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