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SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Single-cell RNA-seq data contain a large proportion of zeros for expressed genes. Such dropout events present a fundamental challenge for various types of data analyses. Here, we describe the SCRABBLE algorithm to address this problem. SCRABBLE leverages bulk data as a constraint and reduces unwante...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501316/ https://www.ncbi.nlm.nih.gov/pubmed/31060596 http://dx.doi.org/10.1186/s13059-019-1681-8 |