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المؤلفAnwardeen, Najeha R.
المؤلفDiboun, Ilhame
المؤلفMokrab, Younes
المؤلفAlthani, Asma A.
المؤلفElrayess, Mohamed A.
تاريخ الإتاحة2024-09-15T06:12:49Z
تاريخ النشر2023-06-15
اسم المنشورBMC Bioinformatics
المعرّفhttp://dx.doi.org/10.1186/s12859-023-05383-0
الاقتباسAnwardeen, N. R., Diboun, I., Mokrab, Y., Althani, A. A., & Elrayess, M. A. (2023). Statistical methods and resources for biomarker discovery using metabolomics. BMC bioinformatics, 24(1), 250.
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85162027766&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/58908
الملخصMetabolomics is a dynamic tool for elucidating biochemical changes in human health and disease. Metabolic profiles provide a close insight into physiological states and are highly volatile to genetic and environmental perturbations. Variation in metabolic profiles can inform mechanisms of pathology, providing potential biomarkers for diagnosis and assessment of the risk of contracting a disease. With the advancement of high-throughput technologies, large-scale metabolomics data sources have become abundant. As such, careful statistical analysis of intricate metabolomics data is essential for deriving relevant and robust results that can be deployed in real-life clinical settings. Multiple tools have been developed for both data analysis and interpretations. In this review, we survey statistical approaches and corresponding statistical tools that are available for discovery of biomarkers using metabolomics.
راعي المشروعOpen Access funding provided by the Qatar National Library. This research was funded by the Qatar National Research Fund (QNRF), grant number NPRP13S-1230-190008.
اللغةen
الناشرSpringer Nature
الموضوعAnalytical workflow
Metabolomics
Metabolomics tools
Multivariate
Statistical methods
Univariate
العنوانStatistical methods and resources for biomarker discovery using metabolomics
النوعArticle
رقم العدد1
رقم المجلد24
ESSN1471-2105
dc.accessType Open Access


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