Decision Support in Attribute Selection with Machine Le arning Approach

被引：0

作者：

Arbex, Wagner ^{[1
]}

de Oliveira, Fabrizzio Conde

Fonseca e Silva, Fabyano ^{[2
,3
]}

Varona, Luis ^{[4
]}

Gualberto Barbosa da Silva, Marcos Vincius ^{[1
]}

Verneque, Rui da Silva ^{[1
]}

Hasenclever Borges, Carlos Cristiano

机构：

[1] Brazilian Agr Res Corp Embrapa, Juiz De Fora, MG, Brazil

[2] Univ Fed Juiz de Fora, Juiz De Fora, MG, Brazil

[3] Univ Fed Vicosa, Vicosa, MG, Brazil

[4] Univ Zaragoza, Zaragoza, Spain

来源：

PROCEEDINGS OF THE 2014 9TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2014) | 2014年

关键词：

decision support; attribute selection; machine learning; SVR; computational modeling; PREDICTION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a method to simultaneously select the most relevant single nucleotide polymorphisms (SNPs) markers - the attributes - for the characterization of any measurable phenotype described by a continuous variable using support vector regression (SVR) with Pearson VII Universal Kernel (PUK). The proposed study is multiattribute towards considering several markers simultaneously to explain the phenotype and is based jointly on a statistical tools, machine learning and computational intelligence.

引用

页数：5

共 9 条

[1]

Babcock Institute, GEN EV DAIR CATTL US

[2] Identification of Type 2 Diabetes-associated combination of SNPs using Support Vector Machine [J].

Ban, Hyo-Jeong ;

Heo, Jee Yeon ;

Oh, Kyung-Soo ;

Park, Keun-Joon .

BMC GENETICS, 2010, 11

[3]

BROOKES AJ, 1999, ESSENCE OF SNPS GENE, V234, P177

[4]

Gianola D, 2003, GENETICS, V163, P347

[5]

Goldberg DH., 1985, GENETIC ALGORITHMS S

[6] Use of support vector machines for disease risk prediction in genome-wide association studies: Concerns and opportunities [J].

Mittag, Florian ;

Buechel, Finja ;

Saad, Mohamad ;

Jahn, Andreas ;

Schulte, Claudia ;

Bochdanovits, Zoltan ;

Simon-Sanchez, Javier ;

Nalls, Mike A. ;

Keller, Margaux ;

Hernandez, Dena G. ;

Gibbs, J. Raphael ;

Lesage, Suzanne ;

Brice, Alexis ;

Heutink, Peter ;

Martinez, Maria ;

Wood, Nicholas W. ;

Hardy, John ;

Singleton, Andrew B. ;

Zell, Andreas ;

Gasser, Thomas ;

Sharma, Manu .

HUMAN MUTATION, 2012, 33 (12) :1708-1718

[7] Accuracy of direct genomic values in Holstein bulls and cows using subsets of SNP markers [J].

Moser, Gerhard ;

Khatkar, Mehar S. ;

Hayes, Ben J. ;

Raadsma, Herman W. .

GENETICS SELECTION EVOLUTION, 2010, 42

[8] Facilitating the application of Support Vector Regression by using a universal Pearson VII function based kernel [J].

Üstün, B ;

Melssen, WJ ;

Buydens, LMC .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2006, 81 (01) :29-40

[9] From Disease Association to Risk Assessment: An Optimistic View from Genome-Wide Association Studies on Type 1 Diabetes [J].

Wei, Zhi ;

Wang, Kai ;

Qu, Hui-Qi ;

Zhang, Haitao ;

Bradfield, Jonathan ;

Kim, Cecilia ;

Frackleton, Edward ;

Hou, Cuiping ;

Glessner, Joseph T. ;

Chiavacci, Rosetta ;

Stanley, Charles ;

Monos, Dimitri ;

Grant, Struan F. A. ;

Polychronakos, Constantin ;

Hakonarson, Hakon .

PLOS GENETICS, 2009, 5 (10)

← 1 →