Metabolomics and multivariate data analysis

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 (Unpublished)

	PDF Restricted to Repository staff only Download (1MB) | Request a copy
	PDF Restricted to Repository staff only Download (3MB) | Request a copy

Abstract

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.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	6915/87134
Uncontrolled Keywords:	metabolomics, multivariate data analysis, pharmacognosy, pharmacology, herbal science
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Pharmacy > Department of Pharmaceutical Chemistry
Depositing User:	Dr. Alfi Khatib
Date Deposited:	30 Dec 2020 09:09
Last Modified:	30 Dec 2020 09:09
URI:	http://irep.iium.edu.my/id/eprint/87134

Actions (login required)

View Item