# Normics: Proteomic Normalization by Variance and Data-Inherent Correlation Structure

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/normics-proteomic-normalization-by-variance-and-data-inherent-correlation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Franz F. Dressler,Johannes Brägelmann,Markus Reischl,Sven Perner |
| Citations | 15 |
| DOI | 10.1016/j.mcpro.2022.100269 |
| Fields | Biochemistry, Genetics and Molecular Biology,Chemistry |
| Open Access | true |
| OA Status | gold |
| OA URL | http://www.mcponline.org/article/S1535947622000779/pdf |
| OpenAlex ID | https://openalex.org/W4285605738 |
| PMID | 35853575 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Franz F. Dressler](https://scholariq.org/researchers/franz-f-dressler/)

## Paper primary topic

- [Advanced Proteomics Techniques and Applications](https://scholariq.org/topics/advanced-proteomics-techniques-and-applications/)

## Paper topics

- [Advanced Proteomics Techniques and Applications](https://scholariq.org/topics/advanced-proteomics-techniques-and-applications/)
- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)
- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.