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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Detalles Bibliográficos
Autores principales: Wan, Changlin, Chang, Wennan, Zhang, Yu, Shah, Fenil, Lu, Xiaoyu, Zang, Yong, Zhang, Anru, Cao, Sha, Fishel, Melissa L, Ma, Qin, Zhang, Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Methods Online
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

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