Fuzzy-Granular Gene Selection from Microarray Expression Data

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06) ◽

10.1109/icdmw.2006.84 ◽

2006 ◽

Cited By ~ 2

Author(s):

Yuanchen He ◽

Yuchun Tang ◽

Yan-qing Zhang ◽

Rajshekhar Sunderraman

Keyword(s):

Gene Selection ◽

Expression Data ◽

Microarray Expression Data ◽

Microarray Expression

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Development of Two-Stage SVM-RFE Gene Selection Strategy for Microarray Expression Data Analysis

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2007.1028 ◽

2007 ◽

Vol 4 (3) ◽

pp. 365-381 ◽

Cited By ~ 19

Author(s):

Yuchun Tang ◽

Yan-Qing Zhang ◽

Zhen Huang

Keyword(s):

Data Analysis ◽

Gene Selection ◽

Selection Strategy ◽

Expression Data ◽

Two Stage ◽

Microarray Expression Data ◽

Microarray Expression

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Gene Selection for Microarray Expression Data with Imbalanced Sample Distributions

2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing ◽

10.1109/ijcbs.2009.117 ◽

2009 ◽

Cited By ~ 5

Author(s):

Abu H. M. Kamal ◽

Xingquan Zhu ◽

Ramaswamy Narayanan

Keyword(s):

Gene Selection ◽

Expression Data ◽

Microarray Expression Data ◽

Selection For ◽

Microarray Expression

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Development of Two-Stage SVM-RFE Gene Selection Strategy for Microarray Expression Data Analysis

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2007.70224 ◽

2007 ◽

Vol 4 (3) ◽

pp. 365-381 ◽

Cited By ~ 91

Author(s):

Yuchun Tang ◽

Yan-Qing Zhang ◽

Zhen Huang

Keyword(s):

Data Analysis ◽

Gene Selection ◽

Selection Strategy ◽

Expression Data ◽

Two Stage ◽

Microarray Expression Data ◽

Microarray Expression

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Gene Selection Strategies in Microarray Expression Data: Applications to Case-Control Studies

Topics in Biomedical Engineering International Book Series - Complex Systems Science in Biomedicine ◽

10.1007/978-0-387-33532-2_30 ◽

2007 ◽

pp. 679-699 ◽

Cited By ~ 1

Author(s):

Gustavo A. Stolovitzky

Keyword(s):

Gene Selection ◽

Case Control ◽

Expression Data ◽

Case Control Studies ◽

Microarray Expression Data ◽

Selection Strategies ◽

Microarray Expression

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A Genetic Approach for Gene Selection on Microarray Expression Data

Genetic and Evolutionary Computation – GECCO 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-24854-5_36 ◽

2004 ◽

pp. 346-355 ◽

Cited By ~ 5

Author(s):

Yong-Hyuk Kim ◽

Su-Yeon Lee ◽

Byung-Ro Moon

Keyword(s):

Gene Selection ◽

Expression Data ◽

Genetic Approach ◽

Microarray Expression Data ◽

Microarray Expression

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Granular SVM-RFE Gene Selection Algorithm for Reliable Prostate Cancer Classification on Microarray Expression Data

Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05) ◽

10.1109/bibe.2005.34 ◽

2006 ◽

Cited By ~ 8

Author(s):

Yuchun Tang ◽

Yan-Qing Zhang ◽

Zhen Huang ◽

Xiaohua Hu

Keyword(s):

Prostate Cancer ◽

Gene Selection ◽

Cancer Classification ◽

Expression Data ◽

Selection Algorithm ◽

Microarray Expression Data ◽

Microarray Expression ◽

Gene Selection Algorithm ◽

Prostate Cancer Classification

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The Impact of Gene Selection on Imbalanced Microarray Expression Data

Bioinformatics and Computational Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-00727-9_25 ◽

2009 ◽

pp. 259-269 ◽

Cited By ~ 11

Author(s):

Abu H. M. Kamal ◽

Xingquan Zhu ◽

Abhijit S. Pandya ◽

Sam Hsu ◽

Muhammad Shoaib

Keyword(s):

Gene Selection ◽

Expression Data ◽

Microarray Expression Data ◽

Microarray Expression ◽

The Impact

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Faculty Opinions recommendation of A global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1162449.623967 ◽

2009 ◽

Author(s):

Nicola Mulder

Keyword(s):

Meta Analysis ◽

Expression Data ◽

Microarray Expression Data ◽

Gene Functions ◽

Unknown Gene ◽

Microarray Expression

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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

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LipGene: Lipschitz continuity guided adaptive learning rates for fast convergence on Microarray Expression Data Sets

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2021.3110516 ◽

2021 ◽

pp. 1-1

Author(s):

Tejas Prashanth ◽

Snehanshu Saha ◽

Sumedh Basarkod ◽

Suraj Aralihalli ◽

Soma S Dhavala ◽

...

Keyword(s):

Adaptive Learning ◽

Lipschitz Continuity ◽

Fast Convergence ◽

Data Sets ◽

Expression Data ◽

Microarray Expression Data ◽

Learning Rates ◽

Microarray Expression

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