LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data
A key challenge in modeling single-cell RNA-seq data is to capture the diversity of gene expression states regulated by different transcriptional regulatory inputs across individual cells, which is further complicated by largely observed zero and low expressions. We developed a left truncated mixtur...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765121/ https://www.ncbi.nlm.nih.gov/pubmed/31372654 http://dx.doi.org/10.1093/nar/gkz655 |