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 ◽

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A Filter Feature Selection Method Based on MFA Score and Redundancy Excluding and It’s Application to Tumor Gene Expression Data Analysis

Interdisciplinary Sciences Computational Life Sciences ◽

10.1007/s12539-015-0272-y ◽

2015 ◽

Vol 7 (4) ◽

pp. 391-396 ◽

Author(s):

Jiangeng Li ◽

Lei Su ◽

Zenan Pang

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Feature Selection Method ◽

Selection Method ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Tumor Gene Expression ◽

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Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis

2017 IEEE 33rd International Conference on Data Engineering (ICDE) ◽

10.1109/icde.2017.223 ◽

2017 ◽

Author(s):

Vineet K. Raghu ◽

Xiaoyu Ge ◽

Panos K. Chrysanthis ◽

Panayiotis V. Benos

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Data Driven ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Integrated Theory

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Robust integrated framework for effective feature selection and sample classification and its application to gene expression data analysis

2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) ◽

10.1109/cibcb.2012.6217219 ◽

2012 ◽

Author(s):

Shang Gao ◽

Omar Addam ◽

Ala Qabaja ◽

Abdallah ElSheikh ◽

Omar Zarour ◽

...

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Integrated Framework ◽

Sample Classification

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Combining Bayesian Networks, k Nearest Neighbours Algorithm and Attribute Selection for Gene Expression Data Analysis

Lecture Notes in Computer Science - AI 2004: Advances in Artificial Intelligence ◽

10.1007/978-3-540-30549-1_8 ◽

2004 ◽

pp. 86-97 ◽

Author(s):

B. Sierra ◽

E. Lazkano ◽

J. M. Martínez-Otzeta ◽

A. Astigarraga

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Bayesian Networks ◽

Gene Expression Data ◽

Attribute Selection ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Nearest Neighbours ◽

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A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis

Computational and Structural Biotechnology Journal ◽

10.1016/j.csbj.2018.02.005 ◽

2018 ◽

Vol 16 ◽

pp. 88-97 ◽

Author(s):

Sen Liang ◽

Anjun Ma ◽

Sen Yang ◽

Yan Wang ◽

Qin Ma

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Matched Pairs ◽

Expression Data ◽

Selection Methods ◽

Gene Expression Data Analysis

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Feature selection method using WF-LASSO for gene expression data analysis

Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine - BCB '11 ◽

10.1145/2147805.2147889 ◽

2011 ◽

Author(s):

Ho Sun Shon ◽

Kyung-Sook Yang ◽

Che Woo Yoo ◽

Keun Ho Ryu

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Feature Selection Method ◽

Selection Method ◽

Expression Data ◽

Gene Expression Data Analysis

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Machine Learning and Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis

Artificial Neural Networks – ICANN 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15819-3_29 ◽

2010 ◽

pp. 217-223 ◽

Author(s):

Maurizio Fiasché ◽

Maria Cuzzola ◽

Roberta Fedele ◽

Pasquale Iacopino ◽

Francesco C. Morabito

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Data Analysis ◽

Gene Expression Data ◽

Gene Selection ◽

Expression Data ◽

Gene Expression Data Analysis ◽

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Targeted unsupervised features learning for gene expression data analysis to predict cancer stage

Proceedings of the Tenth International Conference on Computational Systems-Biology and Bioinformatics ◽

10.1145/3365953.3365958 ◽

2019 ◽

Author(s):

Imene Zenbout ◽

Abdelkrim Bouramoul ◽

Souham Meshoul

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Cancer Stage ◽

Expression Data ◽

Gene Expression Data Analysis

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A gene ontology-based microarray gene expression data analysis for diagnosing pseudomyxoma peritonei

2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA) ◽

10.1109/iwcia.2014.6988083 ◽

2014 ◽

Author(s):

Hideki Katagiri ◽

Takeshi Uno ◽

Kosuke Kato ◽

Hiroaki Kuwano ◽

Kohei Sasaki ◽

...

Keyword(s):

Gene Expression ◽

Gene Ontology ◽

Data Analysis ◽

Gene Expression Data ◽

Pseudomyxoma Peritonei ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Microarray Gene Expression ◽

Microarray Gene

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Pattern-Based Biclustering with Constraints for Gene Expression Data Analysis

Progress in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-23485-4_34 ◽

2015 ◽

pp. 326-339 ◽

Author(s):

Rui Henriques ◽

Sara C. Madeira

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis

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