Informative Feature Clustering and Selection for Gene Expression Data

IEEE Access ◽

10.1109/access.2019.2952548 ◽

2019 ◽

Vol 7 ◽

pp. 169174-169184 ◽

Cited By ~ 1

Author(s):

Yuqi Yang ◽

Pengshuai Yin ◽

Zhihang Luo ◽

Wenwen Gu ◽

Renjie Chen ◽

...

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Feature Clustering ◽

Informative Feature ◽

Selection For

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Feature Selection for Gene Expression Data Analysis – A Review

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020695 ◽

2020 ◽

Vol 24 (5) ◽

pp. 6955-6964

Author(s):

Dr. Prema R

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Selection For

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A novel hybrid approach of feature selection through feature clustering using microarray gene expression data

2011 11th International Conference on Hybrid Intelligent Systems (HIS) ◽

10.1109/his.2011.6122091 ◽

2011 ◽

Cited By ~ 1

Author(s):

Choudhury Muhammad Mufassil Wahid ◽

A. B. M. Shawkat Ali ◽

Kevin S. Tickle

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Hybrid Approach ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Feature Clustering ◽

Microarray Gene

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A Blocking Strategy to Improve Gene Selection for Classification of Gene Expression Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2007.1014 ◽

2007 ◽

Vol 4 (2) ◽

pp. 293-300 ◽

Cited By ~ 28

Author(s):

Gianluca Bontempi

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Expression Data ◽

Selection For

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Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2013.04.003 ◽

2013 ◽

Vol 66 ◽

pp. 140-149 ◽

Cited By ~ 10

Author(s):

Cheng Wang ◽

Longbing Cao ◽

Baiqi Miao

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Linear Discriminant ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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Feature Selection through Feature Clustering for Microarray Gene Expression Data

Artificial Intelligence and Applications / 718: Modelling, Identification, and Control ◽

10.2316/p.2011.717-046 ◽

2011 ◽

Cited By ~ 1

Author(s):

Choudhury M.M. Wahid ◽

A.B.M. Shawkat Ali ◽

Kevin S. Tickle

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Feature Clustering ◽

Microarray Gene

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Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method

Bioinformatics ◽

10.1093/bioinformatics/17.12.1131 ◽

2001 ◽

Vol 17 (12) ◽

pp. 1131-1142 ◽

Cited By ~ 392

Author(s):

L. Li ◽

C. R. Weinberg ◽

T. A. Darden ◽

L. G. Pedersen

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Expression Data ◽

Sample Classification ◽

Selection For

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Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/11829898_25 ◽

2006 ◽

pp. 274-285 ◽

Cited By ~ 1

Author(s):

Marc Strickert ◽

Nese Sreenivasulu ◽

Silke Peterek ◽

Winfriede Weschke ◽

Hans-Peter Mock ◽

...

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Expression Data ◽

Unsupervised Feature Selection ◽

Biomarker Identification ◽

Selection For

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Hybrid Cuckoo Search with Clonal Selection for Triclustering Gene Expression Data of Breast Cancer

IETE Journal of Research ◽

10.1080/03772063.2021.1911691 ◽

2021 ◽

pp. 1-9

Author(s):

P. Swathypriyadharsini ◽

K. Premalatha

Keyword(s):

Breast Cancer ◽

Gene Expression ◽

Gene Expression Data ◽

Clonal Selection ◽

Cuckoo Search ◽

Expression Data ◽

Selection For

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A hybrid filter/wrapper approach of feature selection for gene expression data

2008 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2008.4811698 ◽

2008 ◽

Cited By ~ 1

Author(s):

Chao-Hsuan Ke ◽

Cheng-Hong Yang ◽

Li-Yeh Chuang ◽

Cheng-San Yang

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Expression Data ◽

Hybrid Filter ◽

Wrapper Approach ◽

Selection For

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Reference gene selection for normalization of RT-qPCR gene expression data from Actinidia deliciosa leaves infected with Pseudomonas syringae pv. actinidiae

Scientific Reports ◽

10.1038/srep16961 ◽

2015 ◽

Vol 5 (1) ◽

Cited By ~ 51

Author(s):

Milena Petriccione ◽

Francesco Mastrobuoni ◽

Luigi Zampella ◽

Marco Scortichini

Keyword(s):

Gene Expression ◽

Pseudomonas Syringae ◽

Reference Gene ◽

Gene Expression Data ◽

Gene Selection ◽

Actinidia Deliciosa ◽

Expression Data ◽

Reference Gene Selection ◽

Selection For

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