Effective and scalable single-cell data alignment with non-linear canonical correlation analysis
通过非线性典型相关性分析进行有效可扩展的单细胞对齐.
scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization
scNCL:通过邻域对比正则化从RNA迁移标签到ATAC.
scCross: a deep generative model for unifying single-cell multi-omics with seamless integration, cross-modal generation, and in silico exploration
scCross:一种用于将单细胞多组学与无缝整合、跨模态生成和计算机模拟探索相结合的深度生成模型.
scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration
scBridge能够整合单细胞RNA测序和ATAC测序数据中的细胞异质性.
sciCAN: single-cell chromatin accessibility and gene expression data integration via cycle-consistent adversarial network
sciCAN:通过循环一致性对抗网络实现单细胞染色质可及性与基因表达数据集成.