Cargando…
Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis
In untargeted metabolomics analysis, several factors (e.g., unwanted experimental & biological variations and technical errors) may hamper the identification of differential metabolic features, which requires the data-driven normalization approaches before feature selection. So far, ≥16 normaliz...
Autores principales: | Li, Bo, Tang, Jing, Yang, Qingxia, Cui, Xuejiao, Li, Shuang, Chen, Sijie, Cao, Quanxing, Xue, Weiwei, Chen, Na, Zhu, Feng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153651/ https://www.ncbi.nlm.nih.gov/pubmed/27958387 http://dx.doi.org/10.1038/srep38881 |
Ejemplares similares
-
NOREVA: normalization and evaluation of MS-based metabolomics data
por: Li, Bo, et al.
Publicado: (2017) -
Filtering procedures for untargeted LC-MS metabolomics data
por: Schiffman, Courtney, et al.
Publicado: (2019) -
Untargeted LC–MS/MS analysis reveals metabolomics feature of osteosarcoma stem cell response to methotrexate
por: Wang, Feng, et al.
Publicado: (2020) -
Untargeted and Targeted LC-MS/MS Based Metabolomics Study on In Vitro Culture of Phaeoacremonium Species
por: Reveglia, Pierluigi, et al.
Publicado: (2022) -
Integrated LC–MS and GC–MS-based untargeted metabolomics studies of the effect of azadirachtin on Bactrocera dorsalis larvae
por: Zhou, You, et al.
Publicado: (2020)