scDisInFact: Disentangled Learning for the Integration and Prediction of Multi-Batch, Multi-Condition Single-Cell RNA-Sequencing Data

This paper studies disentangled representation learning for integrating and predicting single-cell RNA-sequencing data across multiple batches and conditions.

Recommended citation: Ziqi Zhang, Xinye Zhao, Mehak Bindra, Peng Qiu, Xiuwei Zhang. (2024). "scDisInFact: Disentangled Learning for the Integration and Prediction of Multi-Batch, Multi-Condition Single-Cell RNA-Sequencing Data." Nature Communications.