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Normalization and Noise Reduction for Single Cell RNA-seq Experiments

Overview
Journal Bioinformatics
Publisher Oxford University Press
Specialty Biology
Date 2015 Feb 27
PMID 25717193
Citations 54
Authors
Bo Ding
Lina Zheng
Yun Zhu
Nan Li
Haiyang Jia
Rizi Ai
Andre Wildberg
Wei Wang
Affiliations
Soon will be listed here.
Abstract

Unlabelled: A major roadblock towards accurate interpretation of single cell RNA-seq data is large technical noise resulted from small amount of input materials. The existing methods mainly aim to find differentially expressed genes rather than directly de-noise the single cell data. We present here a powerful but simple method to remove technical noise and explicitly compute the true gene expression levels based on spike-in ERCC molecules.

Availability And Implementation: The software is implemented by R and the download version is available at http://wanglab.ucsd.edu/star/GRM.

Contact: wei-wang@ucsd.edu

Supplementary Information: Supplementary data are available at Bioinformatics online.

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