A Novel Hybrid Approach to Selecting Marker Genes for Cancer Classification Using Gene Expression Data

Author(s):

Li Jiangeng ◽

Duan Yanhua ◽

Ruan Xiaogang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Hybrid Approach ◽

Cancer Classification ◽

Marker Genes ◽

3rd Kuala Lumpur International Conference on Biomedical Engineering 2006 - IFMBE Proceedings ◽

Selecting Informative Genes from Leukemia Gene Expression Data using a Hybrid Approach for Cancer Classification

10.1007/978-3-540-68017-8_133 ◽

2007 ◽

pp. 528-532

Author(s):

Mohd Saberi Mohamad ◽

Safaai Deris ◽

Siti Zaiton ◽

Mohd Hashim

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Hybrid Approach ◽

Cancer Classification ◽

HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data

Bioinformatics ◽

10.1093/bioinformatics/bti192 ◽

2004 ◽

Vol 21 (8) ◽

pp. 1530-1537 ◽

Cited By ~ 114

Author(s):

Y. Wang ◽

F. S. Makedon ◽

J. C. Ford ◽

J. Pearlman

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Hybrid Approach ◽

Marker Genes ◽

Expression Data ◽

Phenotype Classification ◽

Cancer Classification from Gene Expression data using Fuzzy-Rough techniques An Empirical Study

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i6.415420 ◽

2018 ◽

Vol 6 (6) ◽

pp. 415-420

Author(s):

Ansuman Kumar ◽

Anindya Halder

Keyword(s):

Gene Expression ◽

Empirical Study ◽

Gene Expression Data ◽

Cancer Classification ◽

Cascade of genetic algorithm and decision tree for cancer classification on gene expression data

Expert Systems ◽

10.1111/j.1468-0394.2010.00522.x ◽

2010 ◽

Vol 27 (3) ◽

pp. 201-218 ◽

Cited By ~ 4

Author(s):

Jinn-Yi Yeh ◽

Tai-Hsi Wu

Keyword(s):

Gene Expression ◽

Genetic Algorithm ◽

Decision Tree ◽

Gene Expression Data ◽

Cancer Classification ◽

Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2018.8515927 ◽

2018 ◽

Author(s):

Qun-Xiong Zhu ◽

Yuan Fan ◽

Yan-Lin He ◽

Yuan Xu

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

Cancer Classification ◽

Cancer classification by sparse representation using microarray gene expression data

2008 IEEE International Conference on Bioinformatics and Biomeidcine Workshops ◽

10.1109/bibmw.2008.4686232 ◽

2008 ◽

Cited By ~ 6

Author(s):

Xiyi Hang

Keyword(s):

Gene Expression ◽

Sparse Representation ◽

Gene Expression Data ◽

Cancer Classification ◽

Expression Data ◽

Advances in Digital Image Processing and Information Technology - Communications in Computer and Information Science ◽

A Hybrid Approach to Estimate True Density Function for Gene Expression Data

10.1007/978-3-642-24055-3_5 ◽

2011 ◽

pp. 44-54

Author(s):

Ganesh Kumar Pugalendhi ◽

Mahibha David ◽

Aruldoss Albert Victoire

Keyword(s):

Gene Expression ◽

Density Function ◽

Gene Expression Data ◽

Hybrid Approach ◽

Expression Data ◽

True Density

A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

IEEE Access ◽

10.1109/access.2019.2922987 ◽

2019 ◽

Vol 7 ◽

pp. 78533-78548 ◽

Cited By ~ 21

Author(s):

Nada Almugren ◽

Hala Alshamlan

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Cancer Classification ◽

Expression Data ◽

Selection Methods ◽

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 ◽

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 ◽

Expression Data ◽

Feature Clustering ◽

2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology ◽

Optimized Kernel Machines for Cancer Classification Using Gene Expression Data

10.1109/cibcb.2005.1594928 ◽

2005 ◽

Author(s):

Huilin Xiong ◽

Xue-Wen Chen

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Cancer Classification ◽

Kernel Machines ◽