Normalization methods in mass spectrometry-based analytical proteomics: A case study based on renal cell carcinoma datasets-Reference-Cited by-同舟云学术

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Normalization methods in mass spectrometry-based analytical proteomics: A case study based on renal cell carcinoma datasets

Published:2024-01 Issue: Volume:266 Page:124953
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Carvalho Luis B.^ORCID,Teigas-Campos Pedro A.D.,Jorge Susana,Protti Michele,Mercolini Laura^ORCID,Dhir Rajiv,Wiśniewski Jacek R.,Lodeiro Carlos^ORCID,Santos Hugo M.^ORCID,Capelo José L.

Publisher

Elsevier BV

Subject

Analytical Chemistry

Reference35 articles.

1. Assessing normalization methods in mass spectrometry-based proteome profiling of clinical samples;Dubois;Biosystems,2022

2. Transformation, normalization, and batch effect in the analysis of mass spectrometry data for omics studies;Mertens,2017

3. Statistical methods for handling unwanted variation in metabolomics data;De Livera;Anal. Chem.,2015

4. Normalyzer: a tool for rapid evaluation of normalization methods for omics data sets;Chawade;J. Proteome Res.,2014

5. Normalization and missing value imputation for label-free LC-MS analysis;V Karpievitch;BMC Bioinf.,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A proteomic study to elucidate molecular relationships between iron, oxidative stress and polyphosphate in Streptomyces coelicolor A3(2);Biologia;2024-07-19

2. A Proteomic Study to Elucidate Molecular Relationships Between Iron, Oxidative Stress and Polyphosphate in Streptomyces coelicolor A3(2);2024-04-04

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