Surface protein imputation from single cell transcriptomes by deep neural networks

通过深度神经网络从单细胞转录组插补表面蛋白.

LIBRA: an adaptative integrative tool for paired single-cell multi-omics data

LIBRA：成对单细胞多组学数据的自适应整合工具.

BABEL enables cross-modality translation between multiomic profiles at single-cell resolution

BABEL实现了单细胞分辨率的多组学谱跨模态翻译.

Multimodal Single-Cell Translation and Alignment with Semi-Supervised Learning

通过半监督学习进行多模态单细胞翻译与对齐.

scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data

scMMT: 单细胞RNA序列数据细胞标注、蛋白质预测与嵌入的多用途深度学习方法.

scButterfly: a versatile single-cell cross-modality translation method via dual-aligned variational autoencoders

scButterfly: 基于对偶对齐变分自编码器的单细胞跨模态翻译方法.