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A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data
The development of single-cell RNA-sequencing (scRNA-seq) technologies has offered insights into complex biological systems at the single-cell resolution. In particular, these techniques facilitate the identifications of genes showing cell-type-specific differential expressions (DE). In this paper,...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487630/ https://www.ncbi.nlm.nih.gov/pubmed/35514182 http://dx.doi.org/10.1093/bib/bbac166 |