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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...
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| Publicado no: | Genome Biol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8042713/ https://ncbi.nlm.nih.gov/pubmed/33845875 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-021-02290-6 |
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