Resumen de Tesis: Model for explicit biological knowledge integration in DNA microarray gene expression classification

Daniel González Peña

doi:10.4114/ia.v14i45.1050

Resumen de Tesis: Model for explicit biological knowledge integration in DNA microarray gene expression classification

INTELIGENCIA ARTIFICIAL ◽

10.4114/ia.v14i45.1050 ◽

2010 ◽

Vol 14 (45) ◽

Author(s):

Daniel González Peña

Keyword(s):

Gene Expression ◽

Dna Microarray ◽

Knowledge Integration ◽

Biological Knowledge ◽

Microarray Gene Expression ◽

Gene Expression Classification ◽

Microarray Gene ◽

Expression Classification

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Biological Knowledge Integration in DNA Microarray Gene Expression Classification Based on Rough Set Theory

Advances in Intelligent and Soft Computing - 6th International Conference on Practical Applications of Computational Biology & Bioinformatics ◽

10.1007/978-3-642-28839-5_6 ◽

2012 ◽

pp. 53-61 ◽

Cited By ~ 1

Author(s):

D. Calvo-Dmgz ◽

J. F. Galvez ◽

Daniel Glez-Peña ◽

Florentino Fdez-Riverola

Keyword(s):

Gene Expression ◽

Set Theory ◽

Dna Microarray ◽

Rough Set ◽

Knowledge Integration ◽

Rough Set Theory ◽

Biological Knowledge ◽

Microarray Gene Expression ◽

Microarray Gene ◽

Expression Classification

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Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2018.04.018 ◽

2018 ◽

Vol 97 ◽

pp. 145-152 ◽

Cited By ~ 11

Author(s):

Zakariya Yahya Algamal ◽

Rahim Alhamzawi ◽

Haithem Taha Mohammad Ali

Keyword(s):

Gene Expression ◽

Quantile Regression ◽

Gene Selection ◽

Microarray Gene Expression ◽

Bayesian Lasso ◽

Gene Expression Classification ◽

Microarray Gene ◽

Selection For ◽

Expression Classification

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Weighted L1-norm Logistic Regression for Gene Selection of Microarray Gene Expression Classification

International Journal on Advanced Science Engineering and Information Technology ◽

10.18517/ijaseit.10.4.10907 ◽

2020 ◽

Vol 10 (4) ◽

pp. 1483

Author(s):

Aiedh Mrisi Alharthi ◽

Muhammad Hisyam Lee ◽

Zakariya Yahya Algamal

Keyword(s):

Gene Expression ◽

Logistic Regression ◽

Gene Selection ◽

L1 Norm ◽

Microarray Gene Expression ◽

Gene Expression Classification ◽

Microarray Gene ◽

Expression Classification ◽

Selection Of

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Microarray gene expression classification with few genes: Criteria to combine attribute selection and classification methods

Expert Systems with Applications ◽

10.1016/j.eswa.2012.01.096 ◽

2012 ◽

Vol 39 (8) ◽

pp. 7270-7280 ◽

Cited By ~ 27

Author(s):

Carlos J. Alonso-González ◽

Q. Isaac Moro-Sancho ◽

Arancha Simon-Hurtado ◽

Ricardo Varela-Arrabal

Keyword(s):

Gene Expression ◽

Attribute Selection ◽

Classification Methods ◽

Microarray Gene Expression ◽

Gene Expression Classification ◽

Microarray Gene ◽

Expression Classification

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Multiclass microarray gene expression classification based on fusion of correlation features

2010 13th International Conference on Information Fusion ◽

10.1109/icif.2010.5711915 ◽

2010 ◽

Cited By ~ 1

Author(s):

G Chetty ◽

M Chetty

Keyword(s):

Gene Expression ◽

Microarray Gene Expression ◽

Gene Expression Classification ◽

Microarray Gene ◽

Expression Classification

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Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem

Neural Processing Letters ◽

10.1007/s11063-011-9187-8 ◽

2011 ◽

Vol 34 (2) ◽

pp. 117-131 ◽

Cited By ~ 8

Author(s):

A. Castaño ◽

F. Fernández-Navarro ◽

C. Hervás-Martínez ◽

P. A. Gutierrez

Keyword(s):

Gene Expression ◽

Radial Basis Function ◽

Basis Function ◽

Logistic Models ◽

Classification Problem ◽

Microarray Gene Expression ◽

Gene Expression Classification ◽

Radial Basis ◽

Microarray Gene ◽

Expression Classification

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Selecting Few Genes for Microarray Gene Expression Classification

Current Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-14264-2_12 ◽

2010 ◽

pp. 111-120 ◽

Cited By ~ 2

Author(s):

Carlos J. Alonso-González ◽

Q. Isaac Moro ◽

Oscar J. Prieto ◽

M. Aránzazu Simón

Keyword(s):

Gene Expression ◽

Microarray Gene Expression ◽

Gene Expression Classification ◽

Microarray Gene ◽

Expression Classification

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Microarray Gene Expression Classification Based on Supervised Learning and Similarity Measures

2006 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2006.385116 ◽

2006 ◽

Cited By ~ 1

Author(s):

Qingzhong Liu ◽

Andrew H. Sung ◽

Jianyun Xu ◽

Jianzhong Liu ◽

Zhongxue Chen

Keyword(s):

Gene Expression ◽

Supervised Learning ◽

Similarity Measures ◽

Microarray Gene Expression ◽

Gene Expression Classification ◽

Microarray Gene ◽

Expression Classification

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A mixture model-based cluster analysis of DNA microarray gene expression data on Brahman and Brahman composite steers fed high-, medium-, and low-quality diets1

Journal of Animal Science ◽

10.2527/2003.8181900x ◽

2003 ◽

Vol 81 (8) ◽

pp. 1900-1910 ◽

Cited By ~ 40

Author(s):

A. Reverter ◽

K. A. Byrne ◽

H. L. Bruce ◽

Y. H. Wang ◽

B. P. Dalrymple ◽

...

Keyword(s):

Gene Expression ◽

Cluster Analysis ◽

Mixture Model ◽

Dna Microarray ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Model Based ◽

Microarray Gene

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INCORPORATING FEATURE RANKING AND EVOLUTIONARY METHODS FOR THE CLASSIFICATION OF HIGH-DIMENSIONAL DNA MICROARRAY GENE EXPRESSION DATA

Australasian Medical Journal ◽

10.21767/amj.2013.1641 ◽

2013 ◽

Vol 06 (05) ◽

Author(s):

Mani Abedini ◽

Michael Kirley ◽

Raymond Chiong

Keyword(s):

Gene Expression ◽

Dna Microarray ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

High Dimensional ◽

Feature Ranking ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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