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...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
American Institute of Physics
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/57495/ http://irep.iium.edu.my/57495/ 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 |
Internet
http://irep.iium.edu.my/57495/http://irep.iium.edu.my/57495/
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