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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...
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| Publicado no: | Nucleic Acids Res |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6765121/ https://ncbi.nlm.nih.gov/pubmed/31372654 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkz655 |
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