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Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets.

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Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets., , , , , , , , , and 153 other author(s). Nat. Comput. Sci., 2 (5): 317-330 (2022)stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics., , , and . Bioinform., (October 2023)JSNMF enables effective and accurate integrative analysis of single-cell multiomics data., , , , and . Briefings Bioinform., (2022)scICML: Information-Theoretic Co-Clustering-Based Multi-View Learning for the Integrative Analysis of Single-Cell Multi-Omics Data., and . IEEE ACM Trans. Comput. Biol. Bioinform., 21 (1): 200-207 (January 2024)coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data., and . PLoS Comput. Biol., (2021)Improved lung nodule diagnosis accuracy using lung CT images with uncertain class., , , , , and . Comput. Methods Programs Biomed., (2018)RefTM: reference-guided topic modeling of single-cell chromatin accessibility data., , and . Briefings Bioinform., (January 2023)FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets., , , , , , , , and . Briefings Bioinform., (2022)scAMACE: model-based approach to the joint analysis of single-cell data on chromatin accessibility, gene expression and methylation., , and . Bioinform., 37 (21): 3874-3880 (2021)scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data., and . CoRR, (2022)