Metabolomics and multivariate data analysis

Metabolomics is a holistic analytical approach which aims to analyze whole metabolites in a given set of samples. This technique is becoming trending nowadays due to its accuracy and robustness. It has been applied in many fields including pharmacognosy and pharmacology. The best statistical method...

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Main Author: Khatib, Alfi
Format: Conference or Workshop Item
Language:English
English
Published: 2020
Subjects:
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
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spelling my.iium.irep.871342020-12-30T01:09:52Z http://irep.iium.edu.my/87134/ Metabolomics and multivariate data analysis Khatib, Alfi Q Science (General) Metabolomics is a holistic analytical approach which aims to analyze whole metabolites in a given set of samples. This technique is becoming trending nowadays due to its accuracy and robustness. It has been applied in many fields including pharmacognosy and pharmacology. The best statistical method that is fit to this approach is multivariate data analysis which covering multiple variables of both dependent and independent parameters. This statistical analysis reduces a type 1 error due to multiple variables by producing latent variable. This presentation describes some examples of metabolomics application in herbal science in conjunction with pharmacology as well as brief explanation of introduction to multivariate data analysis. 2020-09-15 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/87134/1/certificate.jpg application/pdf en http://irep.iium.edu.my/87134/2/Metabolomics%20and%20MDA.pdf Khatib, Alfi (2020) Metabolomics and multivariate data analysis. In: Continues Learning Series (Webinar), Post Graduate Student Society Kulliyyah of Pharmacy, International Islamic University Malaysia, 15th September 2020, Kulliyyah of Pharmacy, International Islamic University Malaysia, Kuantan(webinar). (Unpublished)
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic Q Science (General)
spellingShingle Q Science (General)
Khatib, Alfi
Metabolomics and multivariate data analysis
description Metabolomics is a holistic analytical approach which aims to analyze whole metabolites in a given set of samples. This technique is becoming trending nowadays due to its accuracy and robustness. It has been applied in many fields including pharmacognosy and pharmacology. The best statistical method that is fit to this approach is multivariate data analysis which covering multiple variables of both dependent and independent parameters. This statistical analysis reduces a type 1 error due to multiple variables by producing latent variable. This presentation describes some examples of metabolomics application in herbal science in conjunction with pharmacology as well as brief explanation of introduction to multivariate data analysis.
format Conference or Workshop Item
author Khatib, Alfi
author_facet Khatib, Alfi
author_sort Khatib, Alfi
title Metabolomics and multivariate data analysis
title_short Metabolomics and multivariate data analysis
title_full Metabolomics and multivariate data analysis
title_fullStr Metabolomics and multivariate data analysis
title_full_unstemmed Metabolomics and multivariate data analysis
title_sort metabolomics and multivariate data analysis
publishDate 2020
url http://irep.iium.edu.my/87134/1/certificate.jpg
http://irep.iium.edu.my/87134/2/Metabolomics%20and%20MDA.pdf
http://irep.iium.edu.my/87134/
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