A hybrid feature subset selection algorithm for analysis of high correlation proteomic data

A hybrid feature subset selection algorithm for analysis of high correlation proteomic data

Pathological changes within an organ can be reflected as proteomic patterns in biological fluids such as plasma, serum, and urine. The surface-enhanced laser desorption and ionization time-of-flight mass spectrometry (SELDI-TOF MS) has been used to generate proteomic profiles from biological fluids....

Full description

Bibliographic Details
Main Authors: Hussain Montazery Kordy, Mohammad Hossein Miran Baygi, Mohammad Hassan Moradi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2012-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
Biomarker
classification
correlation-based weight function
feature subset selection
peak scoring
proteomics
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2012;volume=2;issue=3;spage=161;epage=168;aulast=Kordy

Internet

http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2012;volume=2;issue=3;spage=161;epage=168;aulast=Kordy

Similar Items