Here are some papers that seems to be relevant as well for cell type annotation in single cell that we have published. If you think they can be used feel free to add them. The first one is not deep learning but the others are.
CASSL: A cell-type annotation method for single cell transcriptomics data using semi-supervised learning (paper)
Multimodal data integration
Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease (paper)
Time series
Deep Learning-Based Prediction of Time-Series Single-Cell RNA-Seq Data (paper)
Hi,
Here are some papers that seems to be relevant as well for cell type annotation in single cell that we have published. If you think they can be used feel free to add them. The first one is not deep learning but the others are.
CASSL: A cell-type annotation method for single cell transcriptomics data using semi-supervised learning (paper)
Multimodal data integration Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease (paper)
Time series Deep Learning-Based Prediction of Time-Series Single-Cell RNA-Seq Data (paper)
It will be good to know if they can be added.