A Review of Cancer Classification Software for Gene Expression Data
Microarray technology provides a way for researchers to measure the expression level of thousands of genes simultaneously in a single experiment. Due to the increasing amount of microarray data, the field of microarray data analysis has become a major topic among researchers. One of the examples of...
Main Authors: | Tan, Ching Siang, Ting, Wai Soon, Shahreen, Kasim, Mohd Saberi, Mohamad, Chan, Weng Howe, Safaai, Deris, Zalmiyah, Zakaria, Zuraini, Ali Shah, Zuwairie, Ibrahim |
---|---|
Format: | Article |
Language: | English English |
Published: |
SERSC
2015
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/11602/ http://umpir.ump.edu.my/id/eprint/11602/ http://umpir.ump.edu.my/id/eprint/11602/ http://umpir.ump.edu.my/id/eprint/11602/1/A%20Review%20of%20Cancer%20Classification%20Software%20for%20Gene%20Expression%20Data.pdf http://umpir.ump.edu.my/id/eprint/11602/7/A%20Review%20of%20Cancer%20Classification%20Software%20for%20Gene%20Expression%20Data.pdf |
Similar Items
-
An Improved gSVM-SCADL2 with Firefly Algorithm for Identification of Informative Genes and Pathways
by: Chan, Weng Howe, et al.
Published: (2016) -
A Review of Software for Predicting Gene Function
by: Zuwairie, Ibrahim, et al.
Published: (2015) -
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
by: Mohd Saberi, Mohamad, et al.
Published: (2013) -
Review of the machine learning methods in the classification of phishing attack
by: Jupin, John Arthur, et al.
Published: (2019) -
Investigation of the Effects of Imputation Methods for Gene Regulatory Networks Modelling Using Dynamic Bayesian Networks
by: Sin, Yi Lim, et al.
Published: (2016)