Effective gene selection techniques for classification of gene expression data
Recent introduction of microarray technology allows researchers to monitor thousands of gene expression levels in a microarray experiment. Classification of tissue samples into tumor or normal is one of the applications of microarray technology. When classifying tissue samples, gene selection plays...
Saved in:
Main Author: | Yeo, Lee Chin |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2005
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/4222/1/YeoLeeChinMFSKSM2005.pdf http://eprints.utm.my/id/eprint/4222/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gene selection and classification in autism gene expression data
by: Al-Jaf, Shilan Sameen Hameed
Published: (2017) -
Filter-Based Gene Selection Method for Tissues Classification on Large Scale Gene Expression Data
by: Kabir Ahmad, Farzana, et al.
Published: (2018) -
Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification
by: Mohamad, Mohd. Saberi, et al.
Published: (2007) -
Semi-supervised SVM-based feature selection for cancer classification using microarray gene expression data
by: Ang, Jun Chin, et al.
Published: (2015) -
A multi-objective strategy in genetic algorithms for gene selection of gene expression data
by: Mohamad, M. S., et al.
Published: (2009)