ScNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data.

ABSTRACT:

Background

Single-cell RNA-sequencing (scRNA-seq) is fast becoming a powerful tool for profiling genome-scale transcriptomes of individual cells and capturing transcriptome-wide cell-to-cell variability. However, scRNA-seq technologies suffer from high levels of technical noise and variability, hindering reliable quantification of lowly and moderately expressed genes. Since most downstream analyses on scRNA-seq, such as cell type clustering and differential expression analysis, rely on the gene-cell expression matrix, preprocessing of scRNA-seq data is a critical preliminary step in the analysis of scRNA-seq data.

Results

We presented scNPF, an integrative scRNA-seq preprocessing framework assisted by network propagation and network fusion, for recovering gene expression los

SUBMITTER: Ye W 

PROVIDER: S-EPMC6505295 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature