A novel interpolation based missing value estimation method to predict missing values in microarray gene expression data

Proceedings of the 2012 International Conference on Communications, Devices and Intelligent Systems, CODIS 2012

Volumn , Issue , 2012, Pages 318-321

  Bose, Shilpi ^a   Das, Chandra ^a   Dutta, Sourav ^a,b   Chattopadhyay, Samiran ^a,b  

^a NSEC   (India)

^b JADAVPUR UNIVERSITY   (India)

Author keywords

interpolation; microarray; missing value estimation

Indexed keywords

ESTIMATION TECHNIQUES; EXPERIMENTAL PROBLEMS; GENE ARRAYS; GENE EXPRESSION ANALYSIS; INCOMPLETE DATA SETS; INTERPOLATION-BASED IMPUTATIONS; K NEAREST NEIGHBOR (KNN); K-NEAREST NEIGHBORS; MICROARRAY DATA SETS; MICROARRAY EXPERIMENTS; MICROARRAY GENE EXPRESSION DATA; MISSING VALUE ESTIMATION; MISSING VALUES; ROOT MEAN SQUARE ERRORS;

ALGORITHMS; AUTOCORRELATION; ESTIMATION; FORECASTING; GENE EXPRESSION; INTELLIGENT SYSTEMS; INTERPOLATION; MEAN SQUARE ERROR; MICROARRAYS;

ITERATIVE METHODS;

EID: 84874401819     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CODIS.2012.6422202     Document Type: Conference Paper

References (12)

1. M. Schena, D. Shalon, R. Davis, and P. Brown, "Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray," Science, vol. 270, pp. 467-470, 1995.
2. A. A. Alizadeh, M. B. Eisen, R. E. Davis, C. Ma, I. S. Lossos, A. Rosenwald, J. C. B. ad H. Sabet, T. tran, X. Yu, I. J. Powell, L. Yang, G. E. Marti, T. M. J. Hudson, L. Lu, D. B. Lewis, R. Tibshirani, G. Sherlock, W. C. Chan, T. C. Greiner, D. D. Weisenburger, J. O. Armitage, R. Warnke, R. Levy, W. Wilson, M. R. Grever, J. C. Byrd, D. Bostein, P. O. Brown, and L. M. Staudt, "Distinct Types of Diffuse Large B-Cell Lymphoma Identified by Gene Expression Profiling," Nature, vol. 403, pp. 503-511, 2000.
3. A. G. de Brevern, S. Hazout, and A. Malpertuy, "Influence of Microarrays Experiments Missing Values on the Stability of Gene Groups by Hierarchical Clustering," BMC Bioinformatics, 2004.
4. J. Schafer and J. Graham, "Missing Data: Our View of the State of the Art." Psychol. Methods, vol. 7, pp. 147-177, 2002.
5. R. Little and D. Rubin, "Statistical Analysis with Missing Data," Wiley, New York, 1987.
6. O. Tryosanka, M. Cantor, G. Sherlock, P. Brown, T. Hastie, R. Tibshirani, D. Bostein, and R. B. Altman, "Missing Value Estimation Methods for DNA Microarrays," Bioinformatics, vol. 17, pp. 520-525, 2001.
7. K. Y. Kim, B. J. Kim, and G. S. Yi, "Reuse of Imputed Data in Microarray Analysis Increases Imputation Efficiency," BMC Bioinformatics, vol. 5, no. 160, 2004.
8. L. P. Bras and J. C. Menezes, "Improving Cluster-based Missing Value Estimation of DNA Microarray Data," Biomolecular Engineering, vol. 24, pp. 273-282, 2007.
9. H. Kim, G. H. Golub, and H. Park, "Missing value Estimation for DNA Microarray Expression Data: Local Least Square Imputation," Bioinformatics, vol. 21, pp. 187-198, 2005.
10. S. Oba, M. A. Sato, I. Takemasa, M. Monden, K. Matsubara, and S. Ishii, "A Bayseian Missing Value Estimation Method for Gene Expression Profile Data," Bioinformatics, vol. 19, pp. 2088-2096, 2003.
11. M. S. B. S. et al., "Statistical Neural Networks and Support Vector Machine for the Classification of Genetic Mutations in Ovarian Cancer," IEEE CIBCB'04, USA, 2004.
12. S. Bose, C. Das, A. Chakraborty, and S. Chattopadhyay, "Effectiveness of Different Partition based Clustering Algorithms for Estimation of Missing Values in Microarray Gene Expression Data," Springer sponsored The Second International Conference on Advances in Computing and Information Technology (ACITY 2012), July, 2012.