A model for gene selection and classification of gene expression data

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

Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data

Journal of Biomedical Informatics ◽

10.1016/j.jbi.2013.05.008 ◽

2013 ◽

Vol 46 (4) ◽

pp. 697-709 ◽

Cited By ~ 6

Author(s):

Arief Gusnanto ◽

Alexander Ploner ◽

Farag Shuweihdi ◽

Yudi Pawitan

Keyword(s):

Gene Expression ◽

Logistic Regression ◽

Least Squares ◽

Partial Least Squares ◽

Random Effects ◽

Gene Expression Data ◽

Supervised Classification ◽

Gene Selection ◽

Expression Data

Hybrid Correlation based Gene Selection for Accurate Cancer Classification of Gene Expression Data

International Journal of Computer Applications ◽

10.5120/6170-8591 ◽

2012 ◽

Vol 43 (14) ◽

pp. 13-18 ◽

Cited By ~ 3

Author(s):

Vibhav PrakashSingh ◽

Singh Gaurav Arvind ◽

Arindam G Mahapatra

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Cancer Classification ◽

Expression Data ◽

Selection For

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 ◽

Expression Data ◽

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 ◽

Classification Algorithms ◽

Expression Data ◽

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 ◽

Expression Data ◽

Microarray Gene ◽

Nearest Neighborhood

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 ◽

Elastic Net ◽

Expression Data ◽

L1 Norm ◽

Relevant Gene Selection and Classification of Leukemia Gene Expression Data

Emerging Research in Computing, Information, Communication and Applications ◽

10.1007/978-981-10-0287-8_47 ◽

2016 ◽

pp. 503-510

Author(s):

S. Jacophine Susmi ◽

H. Khanna Nehemiah ◽

A. Kannan ◽

Jabez Christopher

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Expression Data ◽

Relevant Gene

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 ◽

Expression Data ◽

Relief Algorithm ◽

Classification Of Tumors ◽

Studies in Classification, Data Analysis, and Knowledge Organization - Data Science and Classification ◽

Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection

10.1007/3-540-34416-0_35 ◽

2006 ◽

pp. 325-332

Author(s):

Edgar Acuña ◽

Jaime Porras

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Principal Components ◽

Expression Data