دورية أكاديمية
Pretreating and normalizing metabolomics data for statistical analysis
| العنوان: | Pretreating and normalizing metabolomics data for statistical analysis |
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| المؤلفون: | Jun Sun, Yinglin Xia |
| المصدر: | Genes and Diseases, Vol 11, Iss 3, Pp 100979- (2024) |
| بيانات النشر: | KeAi Communications Co., Ltd., 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Medicine (General) LCC:Genetics |
| مصطلحات موضوعية: | Data centering and scaling, Data normalization, Data transformation, Missing values, MS-Based data preprocessing, NMR Data preprocessing, Medicine (General), R5-920, Genetics, QH426-470 |
| الوصف: | Metabolomics as a research field and a set of techniques is to study the entire small molecules in biological samples. Metabolomics is emerging as a powerful tool generally for precision medicine. Particularly, integration of microbiome and metabolome has revealed the mechanism and functionality of microbiome in human health and disease. However, metabolomics data are very complicated. Preprocessing/pretreating and normalizing procedures on metabolomics data are usually required before statistical analysis. In this review article, we comprehensively review various methods that are used to preprocess and pretreat metabolomics data, including MS-based data and NMR -based data preprocessing, dealing with zero and/or missing values and detecting outliers, data normalization, data centering and scaling, data transformation. We discuss the advantages and limitations of each method. The choice for a suitable preprocessing method is determined by the biological hypothesis, the characteristics of the data set, and the selected statistical data analysis method. We then provide the perspective of their applications in the microbiome and metabolome research. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2352-3042 |
| العلاقة: | http://www.sciencedirect.com/science/article/pii/S2352304223002246Test; https://doaj.org/toc/2352-3042Test |
| DOI: | 10.1016/j.gendis.2023.04.018 |
| الوصول الحر: | https://doaj.org/article/a20b4ff59cc046228a703d31d8201b4bTest |
| رقم الانضمام: | edsdoj.20b4ff59cc046228a703d31d8201b4b |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 23523042 |
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| DOI: | 10.1016/j.gendis.2023.04.018 |