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 ◽

Expression Data

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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 ◽

Expression Data

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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 ◽

Author(s):

Jinn-Yi Yeh ◽

Tai-Hsi Wu

Keyword(s):

Gene Expression ◽

Genetic Algorithm ◽

Decision Tree ◽

Gene Expression Data ◽

Cancer Classification ◽

Expression Data

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Ensemble Feature Selection from Cancer Gene Expression Data using Mutual Information and Recursive Feature Elimination

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) ◽

10.1109/icaecc50550.2020.9339518 ◽

2020 ◽

Author(s):

Nimrita Koul ◽

Sunilkumar S Manvi

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Mutual Information ◽

Gene Expression Data ◽

Recursive Feature Elimination ◽

Cancer Gene ◽

Expression Data

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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 ◽

Author(s):

Xiyi Hang

Keyword(s):

Gene Expression ◽

Sparse Representation ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Cancer Classification ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information

BMC Bioinformatics ◽

10.1186/1471-2105-9-467 ◽

2008 ◽

Vol 9 (1) ◽

pp. 467 ◽

Author(s):

Weijun Luo ◽

Kurt D Hankenson ◽

Peter J Woolf

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

High Throughput ◽

Regulatory Networks ◽

Expression Data ◽

Transcriptional Regulatory Networks ◽

Transcriptional Regulatory ◽

High Throughput Gene Expression

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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 ◽

Author(s):

Nada Almugren ◽

Hala Alshamlan

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Cancer Classification ◽

Expression Data ◽

Selection Methods ◽

Microarray Gene Expression ◽

Microarray Gene

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Optimized Kernel Machines for Cancer Classification Using Gene Expression Data

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

10.1109/cibcb.2005.1594928 ◽

2005 ◽

Author(s):

Huilin Xiong ◽

Xue-Wen Chen

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Cancer Classification ◽

Kernel Machines ◽

Expression Data

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A Review of Cancer Classification Software for Gene Expression Data

International Journal of Bio-Science and Bio-Technology ◽

10.14257/ijbsbt.2015.7.4.10 ◽

2015 ◽

Vol 7 (4) ◽

pp. 89-108 ◽

Author(s):

Tan Ching Siang ◽

T ing Wai Soon ◽

Shahreen Kasim ◽

Mohd Saberi Mohamad ◽

Chan Weng Howe ◽

...

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Cancer Classification ◽

Expression Data

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Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information

Bioinformatics ◽

10.1093/bioinformatics/btr626 ◽

2011 ◽

Vol 28 (1) ◽

pp. 98-104 ◽

Author(s):

Xiujun Zhang ◽

Xing-Ming Zhao ◽

Kun He ◽

Le Lu ◽

Yongwei Cao ◽

...

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Expression Data ◽

Conditional Mutual Information ◽

Gene Regulatory

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A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2017.2712607 ◽

2018 ◽

Vol 15 (4) ◽

pp. 1315-1324 ◽

Author(s):

Chun-Qiu Xia ◽

Ke Han ◽

Yong Qi ◽

Yang Zhang ◽

Dong-Jun Yu

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Clustering Algorithm ◽

Subspace Clustering ◽

Cancer Classification ◽

Low Rank ◽

Expression Data ◽

Low Rank Representation

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