SCIM: universal single-cell matching with unpaired feature sets

SCIM: 不成对特征集的通用单细胞匹配.

MultiVI: deep generative model for the integration of multimodal data

MultiVI: 多模态数据整合的深度生成模型.

A universal framework for single-cell multi-omics data integration with graph convolutional networks

使用图卷积网络进行单细胞多组学数据集成的通用框架.

Multimodal single cell data integration challenge: Results and lessons learned

NeurIPS 2021单细胞多组学竞赛复盘.

scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning

scI2CL：通过组内和组间对比学习有效整合单细胞多组学.

MAGAN: Aligning Biological Manifolds

MAGAN：对齐生物流形.