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A benchmark for RNA-seq deconvolution analysis under dynamic testing environments
BACKGROUND: Deconvolution analyses have been widely used to track compositional alterations of cell types in gene expression data. Although a large number of novel methods have been developed, due to a lack of understanding of the effects of modeling assumptions and tuning parameters, it is challeng...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042713/ https://www.ncbi.nlm.nih.gov/pubmed/33845875 http://dx.doi.org/10.1186/s13059-021-02290-6 |