Pathway-based analysis with support vector machine (SVM-LASSO) for gene selection and classification
Genomic knowledge has become a popular research field in bioinformatics biological process that providing further biological process information. Many methods have been done to address the issues of high data throughput due to increased use of microarray technology. However, it is still not able to...
Saved in:
Main Authors: | Nurul Athirah, Nasrudin, Chan, Weng Howe, Mohd Saberi, Mohamad, Safaai, Deris, Suhaimi, Napis, Shahreen, Kasim |
---|---|
Format: | Article |
Language: | English |
Published: |
Indonesian Society for Knowledge and Human Development
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/29818/1/Pathway-based%20analysis%20with%20support%20vector%20machine.pdf http://umpir.ump.edu.my/id/eprint/29818/ https://doi.org/10.18517/ijaseit.7.4-2.3397 https://doi.org/10.18517/ijaseit.7.4-2.3397 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pathway-based analysis with support vector machine (SVM-LASSO) for gene selection and classification
by: Nasrudin, Nurul Athirah, et al.
Published: (2017) -
Pathway-based analysis with Support Vector Machine (SVM-LASSO) for gene selection and classification
by: Nasrudin, Nurul Athirah, et al.
Published: (2017) -
An Improved gSVM-SCADL2 with Firefly Algorithm for Identification of Informative Genes and Pathways
by: Chan, Weng Howe, et al.
Published: (2016) -
Improved support vector machine using multiple SVM-RFE for cancer classification
by: Mohd Hasri, Nurul Nadzirah, et al.
Published: (2017) -
Improved support vector machine using multiple SVM-RFE for cancer classification
by: Hasri, N. N. M., et al.
Published: (2017)