A multi-view latent variable model reveals cellular heterogeneity in complex tissues for paired multimodal single-cell data

多视角隐变量模型揭示了复杂组织中成对多模态单细胞数据的细胞异质性.

Multi-task learning from multimodal single-cell omics with Matilda

使用Matilda进行多模态单细胞组学的多任务学习.

Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease

单细胞多组学整合的无监督神经网络.

Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration

Con-AAE：单细胞多组学对齐与整合的对比循环对抗自编码器.

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.