Accounting for technical noise in differential expression analysis of single-cell RNA sequencing data

Single-cell mRNA quantification and differential analysis with Census

(2017) Xiaojie Qiu et al.   NATURE METHODS

Batch effects and the effective design of single-cell gene expression studies

(2017) Po-Yuan Tung et al.   Scientific Reports

OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data

(2016) Ning Leng et al.   BIOINFORMATICS

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

(2016) I. Tirosh et al.   SCIENCE

The Technology and Biology of Single-Cell RNA Sequencing

(2015) Aleksandra A. Kolodziejczyk et al.   MOLECULAR CELL

Single Mammalian Cells Compensate for Differences in Cellular Volume and DNA Copy Number through Independent Global Transcriptional Mechanisms

(2015) Olivia Padovan-Merhar et al.   MOLECULAR CELL

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

(2015) Florian Buettner et al.   NATURE BIOTECHNOLOGY

Computational and analytical challenges in single-cell transcriptomics

(2015) Oliver Stegle et al.   NATURE REVIEWS GENETICS

Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq

(2015) A. Zeisel et al.   SCIENCE

Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression

(2015) Jong Kyoung Kim et al.   Nature Communications

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

(2015) Catalina A. Vallejos et al.   PLoS Computational Biology

Validation of noise models for single-cell transcriptomics

(2014) Dominic Grün et al.   NATURE METHODS

Bayesian approach to single-cell differential expression analysis

(2014) Peter V Kharchenko et al.   NATURE METHODS

Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells

(2013) Alex K. Shalek et al.   NATURE

Synthetic spike-in standards for RNA-seq experiments

(2011) L. Jiang et al.   GENOME RESEARCH