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Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis
Ji, Soo-Yeon ; Jeong, Dong Hyun
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) BIBE Bioinformatics and Bioengineering (BIBE), 2020 IEEE 20th International Conference on. :17-22 Oct, 2020
An Ensemble Filtering and Supervised Clustering based Informative Gene Selection Algorithm in Microarray Gene Expression Data
Bose, Shilpi ; Das, Chandra ; Banerjee, Abhik ; et al.
2020 4th International Conference on Computational Intelligence and Networks (CINE) Computational Intelligence and Networks (CINE), 2020 4th International Conference on. :1-7 Feb, 2020
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
Analysis of microarray gene expression data using information theory and stochastic algorithm
Behera, Narayan
Handbook of statistics. 43:349-378
Hybrid PCA and LDA Analysis of Microarray Gene Expression Data
Yijuan Lu ; Qi Tian ; Sanchez, M. ; et al.
2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology Computational Intelligence in Bioinformatics and Computational Biology, 2005. CIBCB '05. Proceedings of the 2005 IEEE Symposium on. :1-6 2005
Knowledge-Based Analysis of Microarray Gene Expression Data by Using Support Vector Machines
Grundy, William Noble ; Lin, David ; Cristianini, Nello ; et al.
Proceedings of the National Academy of Sciences of the United States of America, 2000 Jan 01. 97(1), 262-267.
Gene Network Modules-Based Liner Discriminant Analysis of Microarray Gene Expression Data
Bioinformatics Research and Applications: 7th international symposium, ISBRA 2011
Hu, P. ; Bull, S. ; Jiang, H.
LECTURE NOTES IN COMPUTER SCIENCE. (6674):286-296
Functional discriminant analysis for microarray gene expression data via radial basis function networks
COMPSTAT (Symposium); proceedings in computational statistics
Araki, Y. ; Konishi, S. ; Imoto, S.
COMPSTAT. :613-620
Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients
Yasrebi, H.
BRIEFINGS IN BIOINFORMATICS. 17(5):771-785
Cross experimental analysis of microarray gene expression data from volatile organic compounds treated targets
Yim, W. C. ; Min, K. ; Jung, D. ; et al.
MOLECULAR AND CELLULAR TOXICOLOGY. 7(3):233-241
Additive Risk Analysis of Microarray Gene Expression Data via Correlation Principal Component Regression
Zhao, Y. ; Wang, G.
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY. 8(4):645-660
Microarray-MD: A system for exploratory analysis of microarray gene expression data
Maroulis, D. E. ; Flaounas, I. N. ; Iakovidis, D. K. ; et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. 83(2):157-167
A note on joint versus gene-specific mixed model analysis of microarray gene expression data
Hoeschele, I. ; Li, H.
BIOSTATISTICS -OXFORD-. 6(2):183-186
Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data
Huang, D. ; Pan, W.
BIOINFORMATICS -OXFORD-. 22(10):1259-1268
GEPAS, an experiment-oriented pipeline for the analysis of microarray gene expression data
Vaquerizas, J. M. ; Conde, L. ; Yankilevich, P. ; et al.
NUCLEIC ACIDS RESEARCH. 33(2):W616-W620
A mixture model approach for the analysis of microarray gene expression data
Allison, D. B. ; Gadbury, G. L. ; Heo, M. ; et al.
COMPUTATIONAL STATISTICS AND DATA ANALYSIS. 39(1):1-20
Clustering analysis of microarray gene expression data by splitting algorithm
Wang, R. ; Scharenbroich, L. ; Hart, C. ; et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING. 63(7-8):692-706
Robust cluster analysis of microarray gene expression data with the number of clusters determined biologically
Bickel, D. R.
BIOINFORMATICS -OXFORD-. 19(7):818-824
A novel approach for selecting informative genes from gene expression data using Signal-to-Noise Ratio and t-statistics
Sahu, Barnali ; Mishra, Debahuti
2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Computer and Communication Technology (ICCCT), 2011 2nd International Conference on. :5-10 Sep, 2011
Expression Profiler: A suite of web-based tools for the analysis of microarray gene expression data
Quackenbush, J.
BRIEFINGS IN BIOINFORMATICS. 2(4):388-391
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