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Updated: Sep 13, 2025

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从散装和单细胞mRNA表达的miRNA表达的深度学习推断

Rony Chowdhury Ripan1, Tasbiraha Athaya1, Xiaoman Li2

  • 1Department of Computer Science, University of Central Florida, Orlando, Florida, USA.

Journal of bioinformatics and computational biology
|July 28, 2025
PubMed
概括

新的深度学习模型从单细胞mRNA数据中预测微RNA (miRNA) 表达. 这些模型,交叉模式 (CM) 和单模式 (SM),比现有的单细胞分析方法提供了更好的准确性.

关键词:
跨模式性跨模式性深度学习是一种深度学习.编码器-解码器编码器的miRNA表达方式.

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