
NCBI . NLM . NIH . GOV {
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Title[redir]:
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data - PMC
Description:
Genetically identical populations of cells grown in the same environmental condition show substantial variability in gene expression profiles. Although single-cell RNA-seq provides an opportunity to explore this phenomenon, statistical methods need ...
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Keywords {🔍}
doi, gene, expression, cells, google, scholar, genes, pubmed, model, pmc, parameters, file, article, cell, figure, distribution, free, additional, data, kinetic, number, state, poissonbeta, rna, transcriptional, koni, koffi, singlecell, rnaseq, burst, hkme, nature, promoter, variability, methods, mouse, mrna, time, values, dist, poisson, set, embryonic, molecules, maximum, kinetics, stochastic, frequency, transcription, stem,
Topics {✒️}
𝑥 𝑖 𝑗 𝑝 𝑖 𝑗 single-cell rna-seq increases [doi] [google scholar] single-cell rna-seq data multi-mapping rna-seq reads single-cell rna-seq analysis rna-sequencing experiments began pmc beta search single-cell field progresses optimized single-molecule barcodes single-cell rna-seq single rate-limiting step mann-whitney u-test highly multiplex rna-seq detecting allele-specific expression single-cell imaging methods single-cell transcriptional landscape examining allele-specific variation supplementary materials included cell adhesion-related molecules 𝛽 𝑠 𝑖 allele-specific gene expression 𝛼 𝑠 𝑖 poisson-beta model separately digital rna-seq [42] gro-seq reads mapped full-length mrna-seq competing interests rna-sequencing data 𝑠 𝑝 single-cell transcriptome analysis poisson-beta model presented 𝜃 𝑛 dist license information pmcid representative poisson-beta distributions sequence count data transcription start site single mouse blastomeres publisher site pdf rna polymerase ii ln 𝑃 allele-specific expression maximum likelihood estimates matlab source code full conditional distributions single-cell levels ln 𝑘 gro-seq data [49] 𝑠 𝑖
Questions {❓}
- What do expression dynamics tell us about the mechanism of transcription?
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