BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

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

Rcpp: SeamlessRandC++Integration

(2015) Dirk Eddelbuettel et al.   Journal of Statistical Software

Validation of noise models for single-cell transcriptomics

(2014) Dominic Grün et al.   NATURE METHODS

Single-cell RNA-seq: advances and future challenges

(2014) Antoine-Emmanuel Saliba et al.   NUCLEIC ACIDS RESEARCH

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

(2014) A. P. Patel et al.   SCIENCE

Single Cell Genomics: Advances and Future Perspectives

(2014) Iain C. Macaulay et al.   PLoS Genetics

Quantitative single-cell RNA-seq with unique molecular identifiers

(2013) Saiful Islam et al.   NATURE METHODS

Accounting for technical noise in single-cell RNA-seq experiments

(2013) Philip Brennecke et al.   NATURE METHODS

Synthetic spike-in standards for RNA-seq experiments

(2011) L. Jiang et al.   GENOME RESEARCH

Bayesian integrated modeling of expression data: a case study on RhoG

(2010) Rashi Gupta et al.   BMC BIOINFORMATICS

Differential expression analysis for sequence count data

(2010) Simon Anders et al.   GENOME BIOLOGY

Examples of Adaptive MCMC

(2009) Gareth O. Roberts et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

mRNA-Seq whole-transcriptome analysis of a single cell

(2009) Fuchou Tang et al.   NATURE METHODS

An in situ hybridization-based screen for heterogeneously expressed genes in mouse ES cells

(2008) Mark G. Carter et al.   GENE EXPRESSION PATTERNS