Lokasi: Pathway-based Analysis with Support Vector Machine (SVM-LASSO) for Gene Selection and Classification

Main Authors:	Nasrudin, Nurul Athirah; Artificial Intelligence and Bioinformatics Research Group, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia., Chan, Weng Howe; Artificial Intelligence and Bioinformatics Research Group, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia., Mohamad, Mohd Saberi; Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan, Karung Berkunci 01, 16300, Bachok, Kelantan, Malaysia., Deris, Safaai; Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan, Karung Berkunci 01, 16300, Bachok, Kelantan, Malaysia., Napis, Suhaimi; Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia., Kasim, Shahreen; Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia.
Format:	Article info application/pdf eJournal
Bahasa:	eng
Terbitan:	International Journal on Advanced Science, Engineering and Information Technology , 2017
Subjects:	genomic knowledge gene analysis microarray technology pathway-based analysis support vector machine LASSO 10-fold cross-validation cancer classification
Online Access:	http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/3397 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/3397/pdf_517

Koleksi	International Journal on Advanced Science, Engineering and Information Technology
Gedung	Indonesian Society for Knowledge and Human Development
Institusi	Indonesian Society for Knowledge and Human Development
Kota	-
Provinsi	DKI JAKARTA
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