ArticleJournal of proteome research2014
Normalyzer: a tool for rapid evaluation of normalization methods for omics data sets.
Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 1 of them a synthesis that pooled it.
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Who cites it
146 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Early proteomic signatures of Alzheimer's disease in the retina and brain of 3xTg-AD mice.Frontiers in cell and developmental biology · 2026Article
- Exploring Proteomic Differences in PBMCs for Sex-Specific Insights into Alzheimer's Disease.microPublication biology · 2026Article
- Protein-level batch-effect correction enhances robustness in MS-based proteomics.Nature communications · 2025Article
- Exploring Proteomic Differences in PBMCs for Sex-Specific Insights into Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Defects in anaplerotic metabolism sensitizeMicrobiology spectrum · 2025Article
86 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
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Abstract
High-throughput omics data often contain systematic biases introduced during various steps of sample processing and data generation. As the source of these biases is usually unknown, it is difficult to select an optimal normalization method for a given data set. To facilitate this process, we introduce the open-source tool "Normalyzer". It normalizes the data with 12 different normalization methods and generates a report with several quantitative and qualitative plots for comparative evaluation of different methods. The usefulness of Normalyzer is demonstrated with three different case studies from quantitative proteomics and transcriptomics. The results from these case studies show that the choice of normalization method strongly influences the outcome of downstream quantitative comparisons. Normalyzer is an R package and can be used locally or through the online implementation at http://quantitativeproteomics.org/normalyzer .
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