Ontology highlight
ABSTRACT:
SUBMITTER: Yip SH
PROVIDER: S-EPMC5727406 | biostudies-literature | 2017 Dec
REPOSITORIES: biostudies-literature
Yip Shun H SH Wang Panwen P Kocher Jean-Pierre A JA Sham Pak Chung PC Wang Junwen J
Nucleic acids research 20171201 22
Linnorm is a novel normalization and transformation method for the analysis of single cell RNA sequencing (scRNA-seq) data. Linnorm is developed to remove technical noises and simultaneously preserve biological variations in scRNA-seq data, such that existing statistical methods can be improved. Using real scRNA-seq data, we compared Linnorm with existing normalization methods, including NODES, SAMstrt, SCnorm, scran, DESeq and TMM. Linnorm shows advantages in speed, technical noise removal and ...[more]