DeepCI: a deep learning based clustering method for single cell RNA-seq data
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2021)
摘要
Single cell RNA sequencing enables researchers to analyze cellular heterogeneity at high resolution. In the cellular heterogeneity analysis, unsupervised clustering has been a common and powerful way to identify cell types. Nevertheless, the high dropout rate and high dimension of scRNA-seq data make it still a challenging task. In this study, we proposed DeepCI, a deep neural network based single...
更多查看译文
关键词
Deep learning,Representation learning,Sequential analysis,Clustering methods,RNA,Conferences,Neural networks
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要