A computational method to aid the design and analysis of single cell RNA-seq experiments for cell type identification.

ABSTRACT:

Background

The advent of single cell RNA sequencing (scRNA-seq) enabled researchers to study transcriptomic activity within individual cells and identify inherent cell types in the sample. Although numerous computational tools have been developed to analyze single cell transcriptomes, there are no published studies and analytical packages available to guide experimental design and to devise suitable analysis procedure for cell type identification.

Results

We have developed an empirical methodology to address this important gap in single cell experimental design and analysis into an easy-to-use tool called SCEED (Single Cell Empirical Experimental Design and analysis). With SCEED, user can choose a variety of combinations of tools for analysis, conduct performance analysis of

SUBMITTER: Abrams D 

PROVIDER: S-EPMC6551246 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature