• Suche: Microarray gene expression data analysis

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1

Statistical class prediction method for efficient microarray gene expression data sample classification
Sheela, T. ; Rangarajan, Lalitha
2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Advances in Computing, Communications and Informatics (ICACCI), 2017 International Conference on. :73-78 Sep, 2017

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2

A gene ontology-based microarray gene expression data analysis for diagnosing pseudomyxoma peritonei
Katagiri, Hideki ; Uno, Takeshi ; Kato, Kosuke ; et al.
2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA) Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on. :83-88 Nov, 2014

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3

Multi-objective evolutionary algorithms based Interpretable Fuzzy models for microarray gene expression data analysis
Wang, Zhenyu ; Palade, Vasile
2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on. :308-313 Dec, 2010

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4

Applying gene ontology to microarray gene expression data analysis
Yang, Andy C. ; Hsu, Hui-Huang ; Lu, Ming-Da
2010 International Conference on System Science and Engineering System Science and Engineering (ICSSE), 2010 International Conference on. :421-426 Jul, 2010

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5

ANFIS-based wrapper model gene selection for cancer classification on microarray gene expression data
Mahmoudi, Sina ; Lahijan, Biyuk Sadeghi ; Kanan, Hamidreza Rashidy
2013 13th Iranian Conference on Fuzzy Systems (IFSC) Fuzzy Systems (IFSC), 2013 13th Iranian Conference on. :1-6 Aug, 2013

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6

Microarray gene expression data analysis
Vachtsevanos, G. ; Yuhua Ding ; Fairley, J.A. ; et al.
2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821) Biomedical Imaging: Nano to Macro Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on. :105-108 Vol. 1 2004

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7

An efficient optimal leaf ordering for hierarchical clustering in microarray gene expression data analysis
Zhang, J. ; Gruenwald, L.
Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004. Database and expert systems Database and Expert Systems Applications, 2004. Proceedings. 15th International Workshop on. :396-400 2004

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8

Parametric validity index of clustering for microarray gene expression data
Rui Fa ; Nandi, Asoke K
2011 IEEE International Workshop on Machine Learning for Signal Processing Machine Learning for Signal Processing (MLSP), 2011 IEEE International Workshop on. :1-6 Sep, 2011

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9

Constrained Competitive Learning Algorithm for DNA Microarray Gene Expression Data Analysis
Wu, Shuanhu ; Yan, Hong ; Zeng, Qingshang ; et al.
2008 International Conference on Intelligent Computation Technology and Automation (ICICTA) Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on. 1:44-51 Oct, 2008

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10

A Comprehensive Fuzzy-Based Framework for Cancer Microarray Data Gene Expression Analysis
Wang, Zhenyu ; Palade, Vasile
2007 IEEE 7th International Symposium on BioInformatics and BioEngineering Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on. :1003-1010 Oct, 2007

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11

Clustering analysis for gene expression data: A methodological review
Fa, R. ; Nandi, A.K. ; Gong, L.-Y.
2012 5th International Symposium on Communications, Control and Signal Processing Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on. :1-6 May, 2012

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12

Development of Two-Stage SVM-RFE Gene Selection Strategy for Microarray Expression Data Analysis
Tang, Yuchun ; Zhang, Yan-Qing ; Huang, Zhen
IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 4(3):365-381 Sep, 2007

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13

Capturing Best Practice for Microarray Gene Expression Data Analysis
Knowledge discovery and data mining; KDD-2003
Piatetsky-Shapiro, G. ; Khabaza, T. ; Ramaswamy, S.
ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING. CONF 9:407-415

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14

Rough Based Symmetrical Clustering for Gene Expression Profile Analysis
Sarkar, A. ; Maulik, U.
IEEE Transactions on NanoBioscience IEEE Trans.on Nanobioscience NanoBioscience, IEEE Transactions on. 14(4):360-367 Jun, 2015

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15

A novel computational framework for fast distributed computing and knowledge integration for microarray gene expression data analysis
Sethi, P. ; Leangsuksun, C.
20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06) Advanced Information Networking and Applications Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference on. 2:5 pp. 2006

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16

Kernel based nonlinear dimensionality reduction for microarray gene expression data analysis
Li, X. ; Shu, L.
EXPERT SYSTEMS WITH APPLICATIONS. 36(4):7644-7650

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17

Quantitative Trait Associated Microarray Gene Expression Data Analysis
Qu, Y. ; Xu, S.
MOLECULAR BIOLOGY AND EVOLUTION. 23(8):1558-1573

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18

Microarray Gene Expression Data Analysis Based on Support Vector Maching
Liu, Q. ; Yang, X.-t.
MINIMICRO SYSTEMS -SHENYANG-. 26(3):363-366

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19

A Generalized Additive Model For Microarray Gene Expression Data Analysis
Tsai, C.-A. ; Hsueh, H.-M. ; Chen, J. J.
JOURNAL OF BIOPHARMACEUTICAL STATISTICS. 14(3):553-574

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20

The Local Maximum Clustering Method and Its Application in Microarray Gene Expression Data Analysis
Genomic Signal Processing
Wu, X. ; Chen, Y. ; Brooks, B. R. ; et al.
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING. (1):53-63

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