A novel multi-stage feature selection method for microarray expression data analysis

International Journal of Data Mining and Bioinformatics ◽

10.1504/ijdmb.2013.050977 ◽

2013 ◽

Vol 7 (1) ◽

pp. 58 ◽

Author(s):

Wei Du ◽

Ying Sun ◽

Yan Wang ◽

Zhongbo Cao ◽

Chen Zhang ◽

...

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Feature Selection Method ◽

Selection Method ◽

Expression Data ◽

Microarray Expression Data ◽

Multi Stage ◽

Microarray Expression

Download Full-text

A novel random forests-based feature selection method for microarray expression data analysis

International Journal of Data Mining and Bioinformatics ◽

10.1504/ijdmb.2015.070852 ◽

2015 ◽

Vol 13 (1) ◽

pp. 84 ◽

Author(s):

Dengju Yao ◽

Jing Yang ◽

Xiaojuan Zhan ◽

Xiaorong Zhan ◽

Zhiqiang Xie

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Random Forests ◽

Feature Selection Method ◽

Selection Method ◽

Expression Data ◽

Microarray Expression Data ◽

Microarray Expression

Download Full-text

A novel filter feature selection method for paired microarray expression data analysis

International Journal of Data Mining and Bioinformatics ◽

10.1504/ijdmb.2015.070071 ◽

2015 ◽

Vol 12 (4) ◽

pp. 363 ◽

Author(s):

Zhongbo Cao ◽

Yan Wang ◽

Ying Sun ◽

Wei Du ◽

Yanchun Liang

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Feature Selection Method ◽

Selection Method ◽

Expression Data ◽

Microarray Expression Data ◽

Microarray Expression

Download Full-text

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 ◽

Download Full-text

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

Download Full-text

An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis

2008 IEEE International Conference on Information Reuse and Integration ◽

10.1109/iri.2008.4583007 ◽

2008 ◽

Author(s):

Abu H. M. Kamal ◽

Xingquan Zhu ◽

Abhijit S. Pandya ◽

Sam Hsu ◽

Yong Shi

Keyword(s):

Data Analysis ◽

Empirical Study ◽

Supervised Learning ◽

Expression Data ◽

Biological Sequence ◽

Microarray Expression Data ◽

Microarray Expression

Download Full-text

A filter feature selection method based LLRFC and redundancy analysis for tumor classification using gene expression data

2016 12th World Congress on Intelligent Control and Automation (WCICA) ◽

10.1109/wcica.2016.7578590 ◽

2016 ◽

Author(s):

Jiangeng Li ◽

Xiaodan Li ◽

Wei Zhang

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Redundancy Analysis ◽

Feature Selection Method ◽

Selection Method ◽

Tumor Classification ◽

Expression Data

Download Full-text

A Novel Feature Selection Method for Gene Expression Data Based on Samples Localization

Proceedings of the 2016 International Conference on Biological Engineering and Pharmacy (BEP 2016) ◽

10.2991/bep-16.2017.14 ◽

2017 ◽

Author(s):

Mingyue SHENG ◽

Wei DU ◽

Yuan TIAN ◽

Yanchun LIANG

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Feature Selection Method ◽

Selection Method ◽

Expression Data

Download Full-text

Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2021.105208 ◽

2022 ◽

pp. 105208

Author(s):

Aiguo Wang ◽

Huanchen Liu ◽

Jing Yang ◽

Guilin Chen

Keyword(s):

Feature Selection ◽

Cancer Classification ◽

Expression Data ◽

Biomarker Identification ◽

Microarray Expression Data ◽

Selection For ◽

Microarray Expression

Download Full-text

A feature selection method using fixed-point algorithm for DNA microarray gene expression data

International Journal of Knowledge-based and Intelligent Engineering Systems ◽

10.3233/kes-140285 ◽

2014 ◽

Vol 18 (1) ◽

pp. 55-59 ◽

Author(s):

Alok Sharma ◽

Kuldip K. Paliwal ◽

Seiya Imoto ◽

Satoru Miyano ◽

Vandana Sharma ◽

...

Keyword(s):

Gene Expression ◽

Fixed Point ◽

Feature Selection ◽

Feature Selection Method ◽

Microarray Gene Expression Data ◽

Selection Method ◽

Expression Data ◽

Microarray Gene Expression ◽

Fixed Point Algorithm ◽

Microarray Gene

Download Full-text

A novel hybrid feature selection method for microarray data analysis

Applied Soft Computing ◽

10.1016/j.asoc.2009.11.010 ◽

2011 ◽

Vol 11 (1) ◽

pp. 208-213 ◽

Author(s):

Chien-Pang Lee ◽

Yungho Leu

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Microarray Data ◽

Feature Selection Method ◽

Selection Method ◽

Microarray Data Analysis

Download Full-text