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Volumn , Issue , 2012, Pages 864-871

Rough sets and support vector machine for selecting differentially expressed miRNAs

Author keywords

Feature Selection; microRNA; Rough Sets; Support Vector Machine

Indexed keywords

CELLULAR PROCESS; EXPRESSION DATA; FEATURE SELECTION ALGORITHM; MICROARRAY EXPRESSIONS; MICRORNAS; MRNA EXPRESSION; RELATED ALGORITHMS; ROUGH-SET BASED;

EID: 84875599988     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBMW.2012.6470255     Document Type: Conference Paper
Times cited : (5)

References (54)
  • 2
    • 77957311397 scopus 로고    scopus 로고
    • The clinical potential of micrornas
    • A. Budhu, J. n, and X. W. Wang, "The Clinical Potential of microRNAs," Journal of Hematology and Oncology, vol. 3, no. 37, pp. 1-7, 2010.
    • (2010) Journal of Hematology and Oncology , vol.3 , Issue.37 , pp. 1-7
    • Budhu, A.1    Wang, W.X.2
  • 4
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Y. Saeys, I. Inza, and P. Larraaga, "A Review of Feature Selection Techniques in Bioinformatics," Bioinfo rmatics, vol. 23, no. 19, pp. 2507-2517, 2007.
    • (2007) Bioinfo Rmatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larraaga, P.3
  • 7
    • 67651002796 scopus 로고    scopus 로고
    • Microrna classifiers forpredicting prognosis ofsquamous cell lung cancer
    • M. Raponi, L. Dossey, T. Jatkoe, X. wo, G. Chen, H. Fan, , and D. G. Beer, "MicroRNA Classifiers forPredicting Prognosis ofSquamous Cell Lung Cancer," Cancer Research, vol. 69, no. 14, pp. 5776-5783, 2009.
    • (2009) Cancer Research , vol.69 , Issue.14 , pp. 5776-5783
    • Raponi, M.1    Dossey, L.2    Jatkoe, X.3    Wo, G.4    Chen, H.5    Fan, D.G.6    Beer, T.7
  • 10
  • 11
    • 77955615260 scopus 로고    scopus 로고
    • Microrna expression variability in human cervical tissues
    • P. M. Pereira, J. P. Marques, A. R. Soares, L. Carreto, and M. A. S. Santos, "MicroRNA Expression Variability in Human Cervical Tissues," PLOS ONE, vol. 5, no. 7, pp. 1-12, 2010.
    • (2010) PLOS ONE , vol.5 , Issue.7 , pp. 1-12
    • Pereira, P.M.1    Marques, J.P.2    Soares, A.R.3    Carreto, L.4    Santos, M.A.S.5
  • 12
    • 78149433644 scopus 로고    scopus 로고
    • A pilot study of circulating mirnas as potential biomarkers of early stage breast cancer
    • H. Zhao, J. Shen, L. Medico, D. Wang, C. B. Ambrosone, and S. Liu, "A Pilot Study of Circulating miRNAs as Potential Biomarkers of Early Stage Breast Cancer," PLOS ONE, vol. 5, no. 10, pp. 1-12, 2010.
    • (2010) PLOS ONE , vol.5 , Issue.10 , pp. 1-12
    • Zhao, H.1    Shen, J.2    Medico, L.3    Wang, D.4    Ambrosone, C.B.5    Liu, S.6
  • 16
    • 80051643110 scopus 로고    scopus 로고
    • Integrated miRNA and mRNA expression profiling of mouse mammary tumor models identifies mirna signatures associated with mammary tumor lineage
    • M. Zhu, M. Yi, C. H. Kim, C. Deng, Y. Li, D. Medina, R. M. Stephens, and J. E. Green, "Integrated miRNA and mRNA Expression Profiling of Mouse Mammary Tumor Models Identifies miRNA Signatures Associated with Mammary Tumor Lineage," Genome Biology, vol. 12, pp. 1-16, 2011.
    • (2011) Genome Biology , vol.12 , pp. 1-16
    • Zhu, M.1    Yi, M.2    Kim, C.H.3    Deng, C.4    Li, Y.5    Medina, D.6    Stephens, R.M.7    Green, J.E.8
  • 17
    • 80053931516 scopus 로고    scopus 로고
    • Comparative mirna expression profiles in individuals with latent and active tuberculosis
    • C. Wang, S. Yang, G. Sun, X. Tang, S. Lu, O. Neyrolles, and Q. Gao, "Comparative miRNA Expression Profiles in Individuals with Latent and Active Tuberculosis," PLOS ONE, vol. 6, no. 10, pp. 1-11,2011.
    • (2011) PLOS ONE , vol.6 , Issue.10 , pp. 1-11
    • Wang, C.1    Yang, S.2    Sun, G.3    Tang, X.4    Lu, S.5    Neyrolles, O.6    Gao, Q.7
  • 19
    • 33847009923 scopus 로고    scopus 로고
    • Differential patterns of microrna expression in neuroblastoma are correlated with prognosis, differentiation, and apoptosis
    • Y. Chen and R. L. Stallings, "Differential Patterns of microRNA Expression in Neuroblastoma Are Correlated with Prognosis, Differentiation, and Apoptosis," Cancer Research, vol. 67, pp. 976-983, 2007.
    • (2007) Cancer Research , vol.67 , pp. 976-983
    • Chen, Y.1    Stallings, R.L.2
  • 22
    • 68149166736 scopus 로고    scopus 로고
    • MicroRNA Expression Profile Based Cancer Classification using Default ARTMAP
    • R. Xu, J. Xu, and D. C. Wunsch, "MicroRNA Expression Profile Based Cancer Classification using Default ARTMAP," Neural Networks, vol. 22, pp. 774-780, 2009.
    • (2009) Neural Networks , vol.22 , pp. 774-780
    • Xu, R.1    Xu, J.2    Wunsch, D.C.3
  • 23
  • 24
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and minredundancy
    • H. Peng, F. Long, and C. Ding, "Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and MinRedundancy," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 8, pp. 1226-1238, 2005.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 25
    • 36649023533 scopus 로고    scopus 로고
    • Rfcm: A hybrid clustering algorithm using rough and fuzzy sets
    • P. Maji and S. K. Pal, "RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets," Fundamenta Informaticae, vol. 80, no. 4, p. 475496, 2007.
    • (2007) Fundamenta Informaticae , vol.80 , Issue.4 , pp. 475496
    • Maji, P.1    Pal, S.K.2
  • 28
    • 0348170835 scopus 로고    scopus 로고
    • Fuzzy-rough attribute reduction with application to web categorization
    • R. Jensen and Q. Shen, "Fuzzy-Rough Attribute Reduction with Application to Web Categorization," Fuzzy Sets and Systems, vol. 141, pp. 469-485, 2004.
    • (2004) Fuzzy Sets and Systems , vol.141 , pp. 469-485
    • Jensen, R.1    Shen, Q.2
  • 29
    • 1642525198 scopus 로고    scopus 로고
    • Constructive and axiomatic approaches of fuzzy approximation operators
    • W. Wu and W. Zhang, "Constructive and Axiomatic Approaches of Fuzzy Approximation Operators," Information Sciences, vol. 159, pp. 233-254, 2004.
    • (2004) Information Sciences , vol.159 , pp. 233-254
    • Wu, W.1    Zhang, W.2
  • 34
    • 0033362341 scopus 로고    scopus 로고
    • Combining rough sets and datadriven fuzzy learning for generation of classification rules
    • Q. Shen and A. Chouchoulas, "Combining Rough Sets and DataDriven Fuzzy Learning for Generation of Classification Rules," Pattern Recognition, vol. 32, no. 12, pp. 2073-2076, 1999.
    • (1999) Pattern Recognition , vol.32 , Issue.12 , pp. 2073-2076
    • Shen, Q.1    Chouchoulas, A.2
  • 35
    • 10944249572 scopus 로고    scopus 로고
    • Semantics-preserving dimensionality reduction: Rough and fuzzy-rough-based approach
    • R. Jensen and Q. Shen, "Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approach," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 12, pp. 1457-1471,2004.
    • (2004) IEEE Transactions on Knowledge and Data Engineering , vol.16 , Issue.12 , pp. 1457-1471
    • Jensen, R.1    Shen, Q.2
  • 37
    • 71549145982 scopus 로고    scopus 로고
    • Attribute dependency functions considering data efficiency
    • D. Yamaguchi, "Attribute Dependency Functions Considering Data Efficiency," International Journal of Approximate Reasoning, vol. 51, pp. 89-98, 2009.
    • (2009) International Journal of Approximate Reasoning , vol.51 , pp. 89-98
    • Yamaguchi, D.1
  • 38
    • 79551682436 scopus 로고    scopus 로고
    • Rough set based maximum relevance-maximum significance criterion and gene selection from Microarray data
    • P. Maji and S. Paul, "Rough Set Based Maximum Relevance-Maximum Significance Criterion and Gene Selection from Microarray Data," International Journal of Approximate Reasoning, vol. 52, no. 3, pp. 408-426, 2011.
    • (2011) International Journal of Approximate Reasoning , vol.52 , Issue.3 , pp. 408-426
    • Maji, P.1    Paul, S.2
  • 39
    • 84875679383 scopus 로고    scopus 로고
    • I-information measures for efficient selection of discriminative genes from microarray data
    • P. Maji, "I-Information Measures for Efficient Selection of Discriminative Genes from Microarray Data," IEEE Transactions on Biomedical Engineering, vol. 56, no. 4, pp. 1063-1069, 2009.
    • (2009) IEEE Transactions on Biomedical Engineering , vol.56 , Issue.4 , pp. 1063-1069
    • Maji, P.1
  • 41
    • 0242657729 scopus 로고    scopus 로고
    • Stability of continuous value discretisation: An application within rough set theory
    • M. J. Beynon, "Stability of Continuous Value Discretisation: An Application within Rough Set Theory," International Journal of Approximate Reasoning, vol. 35, pp. 29-53, 2004.
    • (2004) International Journal of Approximate Reasoning , vol.35 , pp. 29-53
    • Beynon, M.J.1
  • 42
    • 34547699509 scopus 로고    scopus 로고
    • Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
    • Q. Hu, Z. Xie, and D. Yu, "Hybrid Attribute Reduction Based on a Novel Fuzzy-Rough Model and Information Granulation," Pattern Recognition, vol. 40, pp. 3577-3594, 2007.
    • (2007) Pattern Recognition , vol.40 , pp. 3577-3594
    • Hu, Q.1    Xie, Z.2    Yu, D.3
  • 44
    • 33947421283 scopus 로고    scopus 로고
    • Fuzzy-rough sets assisted attribute selection
    • R. Jensen and Q. Shen, "Fuzzy-Rough Sets Assisted Attribute Selection," IEEE Transactions on Fuzzy Systems, vol. 15, pp. 73-89, 2007.
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , pp. 73-89
    • Jensen, R.1    Shen, Q.2
  • 45
    • 76049113696 scopus 로고    scopus 로고
    • Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications
    • Q. Hu, L. Zhang, D. Chen, W. Pedrycz, and D. Yu, "Gaussian Kernel Based Fuzzy Rough Sets: Model, Uncertainty Measures and Applications," International Journal of Approximate Reasoning, vol. 51, pp. 453-471, 2010.
    • International Journal of Approximate Reasoning , vol.51 , Issue.2010 , pp. 453-471
    • Hu, Q.1    Zhang, L.2    Chen, D.3    Pedrycz, W.4    Yu, D.5
  • 46
    • 46749140199 scopus 로고    scopus 로고
    • Neighborhood rough set based heterogeneous feature subset selection
    • Q. Hu, D. Yu, J. Liu, and C. wo, "Neighborhood Rough Set Based Heterogeneous Feature Subset Selection," Information Sciences, vol. 178, pp. 3577-3594, 2008.
    • (2008) Information Sciences , vol.178 , pp. 3577-3594
    • Hu, Q.1    Yu, D.2    Liu, C.3    Wo, J.4
  • 47
    • 77952582116 scopus 로고    scopus 로고
    • Fuzzy-rough sets for information measures and selection of relevant genes from microarray data
    • P. Maji and S. K. Pal, "Fuzzy-Rough Sets for Information Measures and Selection of Relevant Genes from Microarray Data," IEEE Transactions on System, Man, and Cybernetics, Part B: Cybernetics, vol. 40, no. 3, pp. 741-752, 2010.
    • (2010) IEEE Transactions on System, Man, and Cybernetics, Part B: Cybernetics , vol.40 , Issue.3 , pp. 741-752
    • Maji, P.1    Pal, S.K.2
  • 48
    • 77951766769 scopus 로고    scopus 로고
    • Feature selection using i-information measures in fuzzy approximation spaces
    • P. Maji and S. K. Pal, "Feature Selection Using I-Information Measures in Fuzzy Approximation Spaces," IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 6, pp. 854-867, 2010.
    • (2010) IEEE Transactions on Knowledge and Data Engineering , vol.22 , Issue.6 , pp. 854-867
    • Maji, P.1    Pal, S.K.2
  • 50
    • 17644384367 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarray gene expression data
    • C. Ding and H. Peng, "Minimum Redundancy Feature Selection from Microarray Gene Expression Data," Journal of Bioinformatics and Computational Biology, vol. 3, no. 2, pp. 185-205, 2005.
    • (2005) Journal of Bioinformatics and Computational Biology , vol.3 , Issue.2 , pp. 185-205
    • Ding, C.1    Peng, H.2
  • 53
    • 0031536511 scopus 로고    scopus 로고
    • Improvements on cross-validation: The .632+ bootstrap method
    • B. Efron and R. Tibshirani, "Improvements on Cross-Validation: The .632+ Bootstrap Method," Journal of the American Statistical Association, vol. 92, no. 438, pp. 548-560, 1997.
    • (1997) Journal of the American Statistical Association , vol.92 , Issue.438 , pp. 548-560
    • Efron, B.1    Tibshirani, R.2
  • 54
    • 84861926322 scopus 로고    scopus 로고
    • Relevant and significant supervised gene clusters for microarray cancer classification
    • P. Maji and C. Das, "Relevant and Significant Supervised Gene Clusters for Microarray Cancer Classification," IEEE Transactions on NanoBioscience, vol. 11, no. 2, pp. 161-168, 2012.
    • (2012) IEEE Transactions on NanoBioscience , vol.11 , Issue.2 , pp. 161-168
    • Maji, P.1    Das, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.