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Clustering and classification methods for single-cell RNA-sequencing data
Appropriate ways to measure the similarity between single-cell RNA-sequencing (scRNA-seq) data are ubiquitous in bioinformatics, but using single clustering or classification methods to process scRNA-seq data is generally difficult. This has led to the emergence of integrated methods and tools that...
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| Publicado no: | Brief Bioinform |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7444317/ https://ncbi.nlm.nih.gov/pubmed/31271412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbz062 |
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