Get paper from

journal cover

When to use Quantile Normalization?

bioRxiv

Dec 4, 2014

Stephanie C. Hicks, Rafael A. Irizarry

Get paper from

Abstract

Normalization and preprocessing are essential steps for the analysis of high-throughput data including next-generation sequencing and microarrays. Multi-sample global normalization methods, such as quantile normalization, have been successfully used to remove technical variation from no...read more

Mentioned in this Paper

Gene Expression
Simulation
Biologist (General)
Computer Program Package
Massively-Parallel Sequencing
Analysis
DNA Methylation
Metaplastic Cell Transformation
DNA Methylation [PE]
Normalize
93
103
Paper Details
References
    • References
    • Citations

      References currently unavailable

      We're still populating references for this paper, please check back later.
    • References
    • Citations

      No citations available

      This paper may not have been cited yet.
  • When to use Quantile Normalization?

    bioRxiv

    Dec 4, 2014

    Stephanie C. Hicks, Rafael A. Irizarry

    PMID: 990012203

    DOI: 10.1101/012203

    Abstract

    Normalization and preprocessing are essential steps for the analysis of high-throughput data including next-generation sequencing and microarrays. Multi-sample global normalization methods, such as quantile normalization, have been successfully used to remove technical variation from no...read more

    Mentioned in this Paper

    Gene Expression
    Simulation
    Biologist (General)
    Computer Program Package
    Massively-Parallel Sequencing
    93
    103
    Paper Details
    References
    • References
    • Citations

      References currently unavailable

      We're still populating references for this paper, please check back later.
    • References
    • Citations

      No citations available

      This paper may not have been cited yet.
  • Get paper from

    © 2019 Meta ULC. All rights reserved.
    /papers/when-to-use-quantile-normalization/990012203