Bioinformatics | Data Science | Genomics scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data. January 30, 2024
Other Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS. January 24, 2024
Bioinformatics | Computational Biology scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data. May 19, 2023
Bioinformatics | Genomics scJVAE: A novel method for integrative analysis of multimodal single-cell data. April 8, 2023
Bioinformatics | Computational Biology Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics. November 4, 2022
Data Science | Metabolomics Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics. July 11, 2022
Bioinformatics | Genomics iMAP: integration of multiple single-cell datasets by adversarial paired transfer networks. February 19, 2021
Bioinformatics | Genomics Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis. May 12, 2020