Unknown

Dataset Information

0

Assessment of Single Cell RNA-Seq Normalization Methods.


ABSTRACT: We have assessed the performance of seven normalization methods for single cell RNA-seq using data generated from dilution of RNA samples. Our analyses showed that methods considering spike-in External RNA Control Consortium (ERCC) RNA molecules significantly outperformed those not considering ERCCs. This work provides a guidance of selecting normalization methods to remove technical noise in single cell RNA-seq data.

SUBMITTER: Ding B 

PROVIDER: S-EPMC5499114 | biostudies-other | 2017 Jul

REPOSITORIES: biostudies-other

altmetric image

Publications

Assessment of Single Cell RNA-Seq Normalization Methods.

Ding Bo B   Zheng Lina L   Wang Wei W  

G3 (Bethesda, Md.) 20170705 7


We have assessed the performance of seven normalization methods for single cell RNA-seq using data generated from dilution of RNA samples. Our analyses showed that methods considering spike-in External RNA Control Consortium (ERCC) RNA molecules significantly outperformed those not considering ERCCs. This work provides a guidance of selecting normalization methods to remove technical noise in single cell RNA-seq data. ...[more]

Similar Datasets

| S-EPMC7019105 | biostudies-literature
| S-EPMC6544759 | biostudies-literature
| S-EPMC5473255 | biostudies-literature
| S-EPMC4481848 | biostudies-literature
| S-EPMC8696108 | biostudies-literature
| S-EPMC8063035 | biostudies-literature
| S-EPMC8419999 | biostudies-literature
| S-EPMC4484837 | biostudies-literature
| S-EPMC4983420 | biostudies-literature
| S-EPMC7333325 | biostudies-literature