A comprehensive survey of statistical approaches for differential expression analysis in single-cell RNA sequencing studies
Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput sequencing
technique for studying gene expressions at the cell level. Differential Expression (DE) …
technique for studying gene expressions at the cell level. Differential Expression (DE) …
Differential expression analyses for single-cell RNA-Seq: old questions on new data
Z Miao, X Zhang - Quantitative Biology, 2016 - Springer
Background Single-cell RNA sequencing (scRNA-seq) is an emerging technology that
enables high resolution detection of heterogeneities between cells. One important …
enables high resolution detection of heterogeneities between cells. One important …
[HTML][HTML] SwarnSeq: An improved statistical approach for differential expression analysis of single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) is a powerful technology that is capable of
generating gene expression data at the resolution of individual cell. The scRNA-seq data is …
generating gene expression data at the resolution of individual cell. The scRNA-seq data is …
Reproducibility of methods to detect differentially expressed genes from single-cell RNA sequencing
Detection of differentially expressed genes is a common task in single-cell RNA-seq (scRNA-
seq) studies. Various methods based on both bulk-cell and single-cell approaches are in …
seq) studies. Various methods based on both bulk-cell and single-cell approaches are in …
Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
Background The analysis of single-cell RNA sequencing (scRNAseq) data plays an
important role in understanding the intrinsic and extrinsic cellular processes in biological …
important role in understanding the intrinsic and extrinsic cellular processes in biological …
A systematic evaluation of single cell RNA-seq analysis pipelines
The recent rapid spread of single cell RNA sequencing (scRNA-seq) methods has created a
large variety of experimental and computational pipelines for which best practices have not …
large variety of experimental and computational pipelines for which best practices have not …
Differential expression analysis of single-cell rna-seq data: current statistical approaches and outstanding challenges
With the advent of single-cell RNA-sequencing (scRNA-seq), it is possible to measure the
expression dynamics of genes at the single-cell level. Through scRNA-seq, a huge amount …
expression dynamics of genes at the single-cell level. Through scRNA-seq, a huge amount …
scDEA: differential expression analysis in single-cell RNA-sequencing data via ensemble learning
The identification of differentially expressed genes between different cell groups is a crucial
step in analyzing single-cell RNA-sequencing (scRNA-seq) data. Even though various …
step in analyzing single-cell RNA-sequencing (scRNA-seq) data. Even though various …
Single-cell RNA-seq technologies and related computational data analysis
G Chen, B Ning, T Shi - Frontiers in genetics, 2019 - frontiersin.org
Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …
A statistical simulator scDesign for rational scRNA-seq experimental design
Motivation Single-cell RNA sequencing (scRNA-seq) has revolutionized biological sciences
by revealing genome-wide gene expression levels within individual cells. However, a critical …
by revealing genome-wide gene expression levels within individual cells. However, a critical …