May 11, 2020 article Open access Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis Nature Communications DOI: 10.1038/s41467-020-15851-3 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 440 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access On the benchmarking of clustering algorithms and hyperparameter influence for cell type detection in single-cell RNA sequencing data 2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access 1 citations CBA: Cluster-Guided Batch Alignment for Single Cell RNA-seq 2021 Frontiers in Genetics article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access 3 citations 2 results References 0