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NDMNN:一种基于深度残留网络的新型MNN方法,可以从scRNA-seq数据中删除批量效应.

Yupeng Ma1, Yongzhen Pei2

  • 1Software Engineering, Tiangong University, Tianjin, P. R. China.

Journal of bioinformatics and computational biology
|July 22, 2024
PubMed
概括

一种名为NDMNN的新方法有效地纠正单细胞RNA测序 (scRNA-seq) 数据中的批量效应. 这种方法将深度残留网络 (NDnetwork) 与MNN相结合,提高了生物数据的准确性.

关键词:
批量效应纠正批量效应纠正深度学习是一种深度学习.互惠的最近邻居.

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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