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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Veröffentlicht in:Nucleic Acids Res
Hauptverfasser: Wan, Changlin, Chang, Wennan, Zhang, Yu, Shah, Fenil, Lu, Xiaoyu, Zang, Yong, Zhang, Anru, Cao, Sha, Fishel, Melissa L, Ma, Qin, Zhang, Chi
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2019
Schlagworte:
Methods Online
Online Zugang: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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