Found: 5
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scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12859-021-04028-4
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- Publication type:
- Article
RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data.
- Published in:
- Nucleic Acids Research, 2021, v. 49, n. 15, p. 8505, doi. 10.1093/nar/gkab632
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- Publication type:
- Article
DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data.
- Published in:
- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-26085-2
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- Publication type:
- Article
Uniform, optimal signal processing of mapped deep-sequencing data.
- Published in:
- Nature Biotechnology, 2013, v. 31, n. 7, p. 615, doi. 10.1038/nbt.2596
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- Publication type:
- Article
Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetes.
- Published in:
- Genome Medicine, 2024, v. 16, n. 1, p. 1, doi. 10.1186/s13073-024-01300-z
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- Publication type:
- Article