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scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment
MOTIVATION: Batch effect is a frequent challenge in deep sequencing data analysis that can lead to misleading conclusions. Existing methods do not correct batch effects satisfactorily, especially with single-cell RNA sequencing (RNA-seq) data. RESULTS: We present scBatch, a numerical algorithm for b...
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| Publicat a: | Bioinformatics |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7214039/ https://ncbi.nlm.nih.gov/pubmed/32053185 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa097 |
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