DocumentCode :
3461264
Title :
Multiclass Gene Selection on Microarray Data Using l1-norm Least Square Regression
Author :
Hang, Xiyi
Author_Institution :
Dept. of Electr. & Comput. Eng., California State Univ., Northridge, Northridge, CA, USA
fYear :
2009
fDate :
3-5 Aug. 2009
Firstpage :
52
Lastpage :
55
Abstract :
A new univariate filter method for multiclass gene selection is proposed based on l1-norm least square regression. The numerical experiment shows that the method is, at least, comparable to two popular methods: ANOVA and BSS/WSS.
Keywords :
chemical analysis; genetics; least squares approximations; regression analysis; ANOVA; BSS/WSS; l1-norm least square regression; microarray data; multiclass gene selection; univariate filter method; Analysis of variance; Bioinformatics; Biology computing; Data engineering; Filters; Intelligent systems; Least squares methods; Minimization methods; Systems biology; Testing; gene selection; l1-norm; microarray; regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3739-9
Type :
conf
DOI :
10.1109/IJCBS.2009.76
Filename :
5260748
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3461264
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