Feature extraction techniques using multivariate analysis for identification of lung cancer volatile organic compounds

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Feature extraction techniques using multivariate analysis for identification of lung cancer volatile organic compounds

In this experiment, three different cell cultures (A549, WI38VA13 and MCF7) and blank medium (without cells) as a control were used. The electronic nose (E-Nose) was used to sniff the headspace of cultured cells and the data were recorded. After data pre-processing, two different features were extra...

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Bibliographic Details
Main Authors:	Thriumani,, Reena, Zakaria, Ammar, Hashim, Yumi Zuhanis Has-Yun, Helmy, Khaled Mohamed, Omar, Mohammad Iqbal, Jeffree, Amanina Iymia, Adom, Abdul Hamid, Md Shakaff, Ali Yeon, Kamarudin, Latifah Munirah
Format:	Proceeding Paper
Language:	English English English
Published:	American Institute of Physics 2017
Subjects:	QD Chemistry TD Environmental technology. Sanitary engineering
Online Access:	http://irep.iium.edu.my/57495/ http://irep.iium.edu.my/57495/1/57495_Feature%20extraction%20techniques_AIP%20complete.pdf http://irep.iium.edu.my/57495/2/57495_Feature%20extraction%20techniques_SCOPUS.pdf http://irep.iium.edu.my/57495/13/57495%20Feature%20extraction%20techniques%20using%20multivariate%20analysis%20WOS.pdf

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