Inferring single-cell gene expression mechanisms using stochastic simulation.
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Single-cell transcriptome sequencing: recent advances and remaining challengesEffects of cell-cycle-dependent expression on random fluctuations in protein levelsBeta-Poisson model for single-cell RNA-seq data analyses.Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models.Intercellular Variability in Protein Levels from Stochastic Expression and Noisy Cell Cycle Processes.Single-cell gene expression analysis reveals regulators of distinct cell subpopulations among developing human neurons.
P2860
Inferring single-cell gene expression mechanisms using stochastic simulation.
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2015 nî lūn-bûn
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2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
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2015年论文
@zh-cn
name
Inferring single-cell gene expression mechanisms using stochastic simulation.
@ast
Inferring single-cell gene expression mechanisms using stochastic simulation.
@en
type
label
Inferring single-cell gene expression mechanisms using stochastic simulation.
@ast
Inferring single-cell gene expression mechanisms using stochastic simulation.
@en
prefLabel
Inferring single-cell gene expression mechanisms using stochastic simulation.
@ast
Inferring single-cell gene expression mechanisms using stochastic simulation.
@en
P2093
P2860
P356
P1433
P1476
Inferring single-cell gene expression mechanisms using stochastic simulation.
@en
P2093
Abhyudai Singh
Bernie J Daigle
Linda R Petzold
Mohammad Soltani
P2860
P304
P356
10.1093/BIOINFORMATICS/BTV007
P407
P577
2015-01-07T00:00:00Z