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Deep enhanced constraint clustering based on contrastive learning for scRNA-seq data.
Briefings in Bioinformatics, 2023Yanglan Gan, Guangwei Xu, Wenjing Guo
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scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data.
Briefings in Bioinformatics, 2023Chun-Hou Zheng, Yansen Su, Jianping Zhao
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Identifying cell types to interpret scRNA-seq data: how, why and more possibilities
Briefings in Functional Genomics, 2020Quan Zou
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Intrinsic entropy model for feature selection of scRNA-seq data
Journal of Molecular Cell Biology, 2022Luonan Chen, Rui Liu, Rui Liu
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UICPC: Centrality-based clustering for scRNA-seq data analysis without user input
Computers in Biology and Medicine, 2021Hussain Ahmed Chowdhury +2 more
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scMAGS: Marker gene selection from scRNA-seq data for spatial transcriptomics studies
Computers in Biology and Medicine, 2023Berat Dogan, Yusuf Baran
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