A Study on Gene Selection and Classification Algorithms for Classification of Microarray Gene Expression Data

Lee Chin Yeo; Safaai Deris

doi:10.11113/jt.v43.780

A Study on Gene Selection and Classification Algorithms for Classification of Microarray Gene Expression Data

Jurnal Teknologi ◽

10.11113/jt.v43.780 ◽

2005 ◽

Vol 43 (1) ◽

Author(s):

Lee Chin Yeo ◽

Safaai Deris

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Microarray Gene Expression Data ◽

Classification Algorithms ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Optimized gene selection and classification of cancer from microarray gene expression data using deep learning

Neural Computing and Applications ◽

10.1007/s00521-020-05367-8 ◽

2020 ◽

Author(s):

Shamveel Hussain Shah ◽

Muhammad Javed Iqbal ◽

Iftikhar Ahmad ◽

Suleman Khan ◽

Joel J. P. C. Rodrigues

Keyword(s):

Gene Expression ◽

Deep Learning ◽

Gene Expression Data ◽

Gene Selection ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique

Expert Systems with Applications ◽

10.1016/j.eswa.2014.08.014 ◽

2015 ◽

Vol 42 (1) ◽

pp. 612-627 ◽

Cited By ~ 81

Author(s):

Subhajit Kar ◽

Kaushik Das Sharma ◽

Madhubanti Maitra

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene ◽

Nearest Neighborhood

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Gene selection and classification of microarray gene expression data based on a new adaptive L1-norm elastic net penalty

Informatics in Medicine Unlocked ◽

10.1016/j.imu.2021.100622 ◽

2021 ◽

pp. 100622

Author(s):

Aiedh Mrisi Alharthi ◽

Muhammad Hisyam Lee ◽

Zakariya Yahya Algamal

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Microarray Gene Expression Data ◽

Elastic Net ◽

Expression Data ◽

L1 Norm ◽

Microarray Gene Expression ◽

Microarray Gene

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A class imbalance-aware Relief algorithm for the classification of tumors using microarray gene expression data

Computational Biology and Chemistry ◽

10.1016/j.compbiolchem.2019.03.017 ◽

2019 ◽

Vol 80 ◽

pp. 121-127 ◽

Cited By ~ 3

Author(s):

Yuanyu He ◽

Junhai Zhou ◽

Yaping Lin ◽

Tuanfei Zhu

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Class Imbalance ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Relief Algorithm ◽

Classification Of Tumors ◽

Microarray Gene

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Classification of Microarray Gene Expression Data by MultiBlock Dimension Reduction

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2006.13.3.567 ◽

2006 ◽

Vol 13 (3) ◽

pp. 567-576

Author(s):

Mi-Ra Oh ◽

Seo-Young Kim ◽

Kyung-Sook Kim ◽

Jang-Sun Baek ◽

Young-Sook Son

Keyword(s):

Gene Expression ◽

Dimension Reduction ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

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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Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data

2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm.2010.5706606 ◽

2010 ◽

Cited By ~ 20

Author(s):

Yifeng Li ◽

Alioune Ngom

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Tensor Factorization ◽

Microarray Gene Expression ◽

Microarray Gene

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Binary classification of cancer microarray gene expression data using extreme learning machines

2014 IEEE International Conference on Computational Intelligence and Computing Research ◽

10.1109/iccic.2014.7238297 ◽

2014 ◽

Cited By ~ 5

Author(s):

C. Arun Kumar ◽

S. Ramakrishnan

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Binary Classification ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Extreme Learning Machines ◽

Microarray Gene Expression ◽

Learning Machines ◽

Microarray Gene

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Bootstrapping Consistency Method for Optimal Gene Selection from Microarray Gene Expression Data for Classification Problems

Machine Learning in Bioinformatics ◽

10.1002/9780470397428.ch4 ◽

2009 ◽

pp. 89-110 ◽

Cited By ~ 1

Author(s):

Shaoning Pang ◽

Ilkka Havukkala ◽

Yingjie Hu ◽

Nikola Kasabov

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Classification Problems ◽

Microarray Gene Expression ◽

Microarray Gene ◽

Consistency Method

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Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data

Australasian Medical Journal ◽

10.4066/amj.2013.1641 ◽

2013 ◽

Vol 6 (5) ◽

pp. 272-279 ◽

Cited By ~ 6

Author(s):

Mani Abedini

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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