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Updated: May 9, 2025

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一个增强的GSNMF模型用于大量RNA-seq数据的完整解卷

Yujie Li1,2, Su Xu1, Xue Wang3

  • 1Department of Mathematics and Statistics, University of North Carolina at Charlotte, USA.

Mathematical biosciences and engineering : MBE
|April 29, 2025
PubMed
概括

这项研究解决了大量RNA-seq数据的细胞类型解卷的挑战,使用一种新的非负矩阵因子化 (NMF) 方法. 开发的管道通过增强数据和估计重新缩放矩阵以获得更好的基因表达特征和细胞丰度来提高准确性.

关键词:
大量的RNA-seq数据.完整的解卷,完全的解卷.数据分析数据分析数据分析几何结构结构的几何结构.非负矩阵因数分解的非负矩阵.

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RNA-seq03:21

RNA-seq

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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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