Related references
Note: Only part of the references are listed.Tools for the analysis of high-dimensional single-cell RNA sequencing data
Yan Wu et al.
NATURE REVIEWS NEPHROLOGY (2020)
Age-related loss of gene-to-gene transcriptional coordination among single cells
Orr Levy et al.
NATURE METABOLISM (2020)
Challenges in measuring and understanding biological noise
Nils Eling et al.
NATURE REVIEWS GENETICS (2019)
Understanding sequencing data as compositions: an outlook and review
Thomas P. Quinn et al.
BIOINFORMATICS (2018)
Single-cell RNA sequencing technologies and bioinformatics pipelines
Byungjin Hwang et al.
EXPERIMENTAL AND MOLECULAR MEDICINE (2018)
Delineating biological and technical variance in single cell expression data
Angeles Arzalluz-Luque et al.
INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY (2017)
Scaling single-cell genomics from phenomenology to mechanism
Amos Tanay et al.
NATURE (2017)
Gene expression variability in mammalian embryonic stem cells using single cell RNA-seq data
Anna Mantsoki et al.
COMPUTATIONAL BIOLOGY AND CHEMISTRY (2016)
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko et al.
CELL (2015)
Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells
Monika S. Kowalczyk et al.
GENOME RESEARCH (2015)
Computational assignment Of cell-cycle stage from single-cell transcriptome data
Antonio Scialdone et al.
METHODS (2015)
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
Florian Buettner et al.
NATURE BIOTECHNOLOGY (2015)
Epigenetic regulation of ageing: linking environmental inputs to genomic stability
Berenice A. Benayoun et al.
NATURE REVIEWS MOLECULAR CELL BIOLOGY (2015)
Stochasticity of metabolism and growth at the single-cell level
Daniel J. Kiviet et al.
NATURE (2014)
Validation of noise models for single-cell transcriptomics
Dominic Grun et al.
NATURE METHODS (2014)
Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis
Andrew D. Fernandes et al.
MICROBIOME (2014)
The role of DNA damage and repair in aging through the prism of Koch-like criteria
Alexey A. Moskalev et al.
AGEING RESEARCH REVIEWS (2013)
The distance correlation t-test of independence in high dimension
Gabor J. Szekely et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2013)
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
Alex K. Shalek et al.
NATURE (2013)
Accounting for technical noise in single-cell RNA-seq experiments
Philip Brennecke et al.
NATURE METHODS (2013)
Cell-Cycle Control of Developmentally Regulated Transcription Factors Accounts for Heterogeneity in Human Pluripotent Cells
Amar M. Singh et al.
STEM CELL REPORTS (2013)
Genomic Analysis at the Single-Cell Level
Tomer Kalisky et al.
ANNUAL REVIEW OF GENETICS, VOL 45 (2011)
We are all individuals: causes and consequences of non-genetic heterogeneity in mammalian cells
Alexander Loewer et al.
CURRENT OPINION IN GENETICS & DEVELOPMENT (2011)
Single-cell dissection of transcriptional heterogeneity in human colon tumors
Piero Dalerba et al.
NATURE BIOTECHNOLOGY (2011)
RNA sequencing: advances, challenges and opportunities
Fatih Ozsolak et al.
NATURE REVIEWS GENETICS (2011)
Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations
Anders Stahlberg et al.
NUCLEIC ACIDS RESEARCH (2011)
An Information Theoretic, Microfluidic-Based Single Cell Analysis Permits Identification of Subpopulations among Putatively Homogeneous Stem Cells
Jason P. Glotzbach et al.
PLOS ONE (2011)
Single cell analysis: the new frontier in 'omics'
Daojing Wang et al.
TRENDS IN BIOTECHNOLOGY (2010)
mRNA-Seq whole-transcriptome analysis of a single cell
Fuchou Tang et al.
NATURE METHODS (2009)
Modelling and analysis of gene regulatory networks
Guy Karlebach et al.
NATURE REVIEWS MOLECULAR CELL BIOLOGY (2008)
Measuring and testing dependence by correlation of distances
Gabor J. Szekely et al.
ANNALS OF STATISTICS (2007)
Regulated cell-to-cell variation in a cell-fate decision system
A Colman-Lerner et al.
NATURE (2005)
Noise in gene expression: Origins, consequences, and control
JM Raser et al.
SCIENCE (2005)
A general framework for weighted gene co-expression network analysis
Bin Zhang et al.
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2005)
Stochastic gene expression in a single cell
MB Elowitz et al.
SCIENCE (2002)
Network motifs in the transcriptional regulation network of Escherichia coli
SS Shen-Orr et al.
NATURE GENETICS (2002)
Share Paper
