moSCminer: a cell subtype classification framework based on the attention neural network integrating the single-cell multi-omics dataset on the cloud

moSCminer：基于注意力神经网络整合单细胞多组学云上数据集的细胞亚型分类框架.

IGCN: integrative graph convolution networks for patient level insights and biomarker discovery in multi-omics integration

IGCN：多组学整合中用于患者层面洞察和生物标志物发掘的图卷积网络.

HyperTMO: a trusted multi-omics integration framework based on hypergraph convolutional network for patient classification

HyperTMO：用于患者分类的超图卷积网络可信多组学整合框架.

MOGAT: An Improved Multi-Omics Integration Framework Using Graph Attention Networks

MOGAT：使用图注意力网络的改进多组学整合框架.

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data

多组学单细胞数据的半监督知识迁移.

scFusionTTT: Single-cell transcriptomics and proteomics fusion with Test-Time Training layers

scFusionTTT：通过测试时训练层进行单细胞转录组与蛋白质组融合.