相关实验视频

Updated: Jun 28, 2026

Identification of Circular RNAs using RNA Sequencing
08:25

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

12.2K

基于BiLSTM和CNN的m6A修饰预测模型用于circRNAs.

Yuqian Yuan1, Xiaozhu Tang2, Hongyan Li1

  • 1School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, China.

Molecules (Basel, Switzerland)
|June 19, 2024
PubMed
概括

研究人员开发了一种新的AI模型来预测循环RNA (circRNAs) 上的m6A甲基化位点. 这个工具准确地识别了甲基化模式,进步了我们对基因表达和疾病的理解.

关键词:
这就是为什么BiLSTM.在美国,CNN是CNN.环绕RNAss 的时间.m6A 一个很好的.

更多相关视频

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions10:27

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

1.5K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

688

相关概念视频

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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 (lncRNA)...