scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection

scMamba：超越高可变特征选择的单细胞多组学整合的可扩展基础模型.

sCIN: a contrastive learning framework for single-cell multi-omics data integration

sCIN：单细胞多组学数据集成的对比学习框架.

Multi-domain translation between single-cell imaging and sequencing data using autoencoders

使用自编码器实现单细胞成像与测序数据的多域翻译.

CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data

CLCLSA：跨组学链接嵌入结合对比学习和自注意力机制用于整合不完整的多组学数据.

MORE: a multi-omics data-driven hypergraph integration network for biomedical data classification and biomarker identification

MORE：用于生物医学数据分类与生物标志物识别的多组学数据驱动超图整合网络.

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

MOGONET使用图卷积网络整合多组学数据进行病人分类与生物标志物识别.