Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
about
Current challenges in the bioinformatics of single cell genomics.Genetics and immunity in the era of single-cell genomicsDesign and computational analysis of single-cell RNA-sequencing experimentsSingle-cell Transcriptome Study as Big DataSingle-cell transcriptome sequencing: recent advances and remaining challengesSingle-cell technologies to study the immune systemCharacterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression.Discrete distributional differential expression (D3E)--a tool for gene expression analysis of single-cell RNA-seq data.Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression DataIntegrated single cell data analysis reveals cell specific networks and novel coactivation markersSCALE: modeling allele-specific gene expression by single-cell RNA sequencing.Single-cell RNA-sequencing of the brain.In Vivo Zonal Variation and Liver Cell-Type Specific NF-κB Localization after Chronic Adaptation to Ethanol and following Partial Hepatectomy.SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling AnalysisIntegrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics.Detection of high variability in gene expression from single-cell RNA-seq profiling.Modeling Enzyme Processivity Reveals that RNA-Seq Libraries Are Biased in Characteristic and Correctable Ways.Single-Cell-Based Analysis Highlights a Surge in Cell-to-Cell Molecular Variability Preceding Irreversible Commitment in a Differentiation Process.Computational approaches for interpreting scRNA-seq data.The details in the distributions: why and how to study phenotypic variabilitySingle-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm.A statistical approach for identifying differential distributions in single-cell RNA-seq experiments.Feasibility of whole RNA sequencing from single-cell mRNA amplification.Technical variations in low-input RNA-seq methodologies.Bioinformatics approaches to single-cell analysis in developmental biology.Delineating biological and technical variance in single cell expression dataFlipping between Polycomb repressed and active transcriptional states introduces noise in gene expression.The accessible chromatin landscape during conversion of human embryonic stem cells to trophoblast by bone morphogenetic protein 4.Single-cell genome-wide studies give new insight into nongenetic cell-to-cell variability in animals.Revealing the vectors of cellular identity with single-cell genomics.What shapes eukaryotic transcriptional bursting?Affected chromosome homeostasis and genomic instability of clonal yeast cultures.Generation of Single-Cell Transcript Variability by Repression.Advances in single-cell RNA sequencing and its applications in cancer research.Defining the three cell lineages of the human blastocyst by single-cell RNA-seq.Inferring gene regulatory networks from single-cell data: a mechanistic approach.Panomics for Precision Medicine.Single-cell gene expression analysis reveals regulators of distinct cell subpopulations among developing human neurons.Bayesian inference on stochastic gene transcription from flow cytometry data
P2860
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P2860
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
@ast
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
@en
type
label
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
@ast
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
@en
prefLabel
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
@ast
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
@en
P2860
P356
P1433
P1476
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
@en
P2860
P2888
P356
10.1186/GB-2013-14-1-R7
P577
2013-01-28T00:00:00Z
P5875
P6179
1043158487