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A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
July-Aug. 2012 (vol. 9 no. 4)
pp. 1106-1119
ASCII Text
x 
 
V. de Schaetzen, C. Molter, A. Coletta, D. Steenhoff, S. Meganck, J. Taminau, C. Lazar, R. Duque, H. Bersini, A. Nowe, "A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 4, pp. 1106-1119, July-Aug., 2012.
 
 
BibTex
x
 
@article{ 10.1109/TCBB.2012.33,
author = {V. de Schaetzen and C. Molter and A. Coletta and D. Steenhoff and S. Meganck and J. Taminau and C. Lazar and R. Duque and H. Bersini and A. Nowe},
title = {A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis},
journal ={IEEE/ACM Transactions on Computational Biology and Bioinformatics},
volume = {9},
number = {4},
issn = {1545-5963},
year = {2012},
pages = {1106-1119},
doi = {http://doi.ieeecomputersociety.org/10.1109/TCBB.2012.33},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE/ACM Transactions on Computational Biology and Bioinformatics
TI - A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
IS - 4
SN - 1545-5963
SP1106
EP1119
EPD - 1106-1119
A1 - V. de Schaetzen,
A1 - C. Molter,
A1 - A. Coletta,
A1 - D. Steenhoff,
A1 - S. Meganck,
A1 - J. Taminau,
A1 - C. Lazar,
A1 - R. Duque,
A1 - H. Bersini,
A1 - A. Nowe,
PY - 2012
KW - information filters
KW - arrays
KW - bioinformatics
KW - genetics
KW - standardized notations
KW - gene expression microarray analysis
KW - combinatorial chemistry
KW - text mining
KW - multivariate imaging
KW - bioinformatics
KW - filter feature selection methods
KW - GEM analysis
KW - differentially expressed gene discovery
KW - gene prioritization
KW - biomarker discovery
KW - Gene expression
KW - Taxonomy
KW - Bioinformatics
KW - Measurement
KW - Search methods
KW - Computational biology
KW - gene expression data.
KW - Feature selection
KW - information filters
KW - gene ranking
KW - biomarker discovery
KW - gene prioritization
KW - scoring functions
KW - statistical methods
VL - 9
JA - IEEE/ACM Transactions on Computational Biology and Bioinformatics
ER -
 
V. de Schaetzen, Univ. Libre de Bruxelles, Brussels, Belgium
C. Molter, Univ. Libre de Bruxelles, Brussels, Belgium
A. Coletta, Univ. Libre de Bruxelles, Brussels, Belgium
D. Steenhoff, Dept. of Comput. Sci., Vrije Univ. Brussel, Brussels, Belgium
S. Meganck, Dept. of Comput. Sci., Vrije Univ. Brussel, Brussels, Belgium
J. Taminau, Dept. of Comput. Sci., Vrije Univ. Brussel, Brussels, Belgium
C. Lazar, Dept. of Comput. Sci., Vrije Univ. Brussel, Brussels, Belgium
R. Duque, Univ. Libre de Bruxelles, Brussels, Belgium
H. Bersini, IRIDIA, Univ. Libre de Bruxelles, Bruxelles, Belgium
A. Nowe, Dept. of Comput. Sci., Vrije Univ. Brussel, Brussels, Belgium
A plenitude of feature selection (FS) methods is available in the literature, most of them rising as a need to analyze data of very high dimension, usually hundreds or thousands of variables. Such data sets are now available in various application areas like combinatorial chemistry, text mining, multivariate imaging, or bioinformatics. As a general accepted rule, these methods are grouped in filters, wrappers, and embedded methods. More recently, a new group of methods has been added in the general framework of FS: ensemble techniques. The focus in this survey is on filter feature selection methods for informative feature discovery in gene expression microarray (GEM) analysis, which is also known as differentially expressed genes (DEGs) discovery, gene prioritization, or biomarker discovery. We present them in a unified framework, using standardized notations in order to reveal their technical details and to highlight their common characteristics as well as their particularities.

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Index Terms:
information filters,arrays,bioinformatics,genetics,standardized notations,gene expression microarray analysis,combinatorial chemistry,text mining,multivariate imaging,bioinformatics,filter feature selection methods,GEM analysis,differentially expressed gene discovery,gene prioritization,biomarker discovery,Gene expression,Taxonomy,Bioinformatics,Measurement,Search methods,Computational biology,gene expression data.,Feature selection,information filters,gene ranking,biomarker discovery,gene prioritization,scoring functions,statistical methods
Citation:
V. de Schaetzen, C. Molter, A. Coletta, D. Steenhoff, S. Meganck, J. Taminau, C. Lazar, R. Duque, H. Bersini, A. Nowe, "A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 4, pp. 1106-1119, July-Aug. 2012, doi:10.1109/TCBB.2012.33
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