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Volumn 22, Issue 3, 2010, Pages 381-391

Ensemble rough hypercuboid approach for classifying cancers

Author keywords

Explicit region; Gene expression data.; Implicit region; Rough hypercuboid; Rough sets

Indexed keywords

BIOMEDICAL APPLICATIONS; CANCER CLASSIFICATION; CANCER GENE EXPRESSION; CANCER TISSUES; GENE EXPRESSION DATA; HISTOLOGICAL ANALYSIS; INTERPRETABLE RULES; MACHINE LEARNING METHODS; MICROARRAY DATA; MICROARRAY TECHNOLOGIES; ROUGH SET;

EID: 76749153990     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2009.114     Document Type: Article
Times cited : (59)

References (69)
  • 1
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • U. Alon, N. Barkai, D.A. Notterman, K. Gish, S. Ybarra, D. Mack, and A.J. Levine, "Broad Patterns of Gene Expression Revealed by Clustering Analysis of Tumor and Normal Colon Tissues Probed by Oligonucleotide Arrays," Proc. Nat'l Academy of Sciences USA, vol.96, no.12, pp. 6745-6750, 1998.
    • (1998) Proc. Nat'l Academy of Sciences USA , vol.96 , Issue.12 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    MacK, D.6    Levine, A.J.7
  • 4
    • 0034598746 scopus 로고    scopus 로고
    • Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
    • Feb.
    • A.A. Alizadeh et al., "Distinct Types of Diffuse Large B-cell Lymphoma Identified by Gene Expression Profiling," Nature, vol.403, pp. 503-511, Feb. 2000.
    • (2000) Nature , vol.403 , pp. 503-511
    • Alizadeh, A.A.1
  • 5
    • 0030049315 scopus 로고    scopus 로고
    • Review: Prediction of human immunodeficiency virus protease cleavage sites in proteins
    • Jan.
    • K.C. Chou, "Review: Prediction of Human Immunodeficiency Virus Protease Cleavage Sites in Proteins," Analytical Biochemistry, vol.233, no.1, pp. 1-14, Jan. 1996.
    • (1996) Analytical Biochemistry , vol.233 , Issue.1 , pp. 1-14
    • Chou, K.C.1
  • 6
    • 3242792729 scopus 로고    scopus 로고
    • Structural bioinformatics and its impact to biomedical science
    • Aug.
    • K.C. Chou, "Structural Bioinformatics and Its Impact to Biomedical Science," Current Medicinal Chemistry, vol.11, no.16, pp. 2105-2134, Aug. 2004.
    • (2004) Current Medicinal Chemistry , vol.11 , Issue.16 , pp. 2105-2134
    • Chou, K.C.1
  • 7
    • 27844598851 scopus 로고    scopus 로고
    • Searching for hypothetical proteins: Theory and practice based upon original data and literature
    • Oct.
    • G. Lubec, L. Afjehi-Sadat, J.W. Yang, and J.P. John, "Searching for Hypothetical Proteins: Theory and Practice Based upon Original Data and Literature," Progress in Neurobiology, vol.77, nos. 1/2, pp. 90-127, Oct. 2005.
    • (2005) Progress in Neurobiology , vol.77 , Issue.1-2 , pp. 90-127
    • Lubec, G.1    Afjehi-Sadat, L.2    Yang, J.W.3    John, J.P.4
  • 8
    • 33750554701 scopus 로고    scopus 로고
    • Progress in computational approach to drug development against SARS
    • Nov.
    • K.C. Chou, D.Q. Wei, Q.S. Du, S. Sirois, and W.Z. Zhong, "Progress in Computational Approach to Drug Development against SARS," Current Medicinal Chemistry, vol.13, no.27, pp. 3263-3270, Nov. 2006.
    • (2006) Current Medicinal Chemistry , vol.13 , Issue.27 , pp. 3263-3270
    • Chou, K.C.1    Wei, D.Q.2    Du, Q.S.3    Sirois, S.4    Zhong, W.Z.5
  • 9
    • 0037076272 scopus 로고    scopus 로고
    • Diagnosis of multiple cancer types by shrunken centroids of gene expression
    • May
    • R. Tibshirani, T. Hastie, B. Narasimhan, and G. Chu, "Diagnosis of Multiple Cancer Types by Shrunken Centroids of Gene Expression," Proc. Nat'l Academy of Sciences USA, vol.99, no.10, pp. 6567-6572, May 2002.
    • (2002) Proc. Nat'l Academy of Sciences USA , vol.99 , Issue.10 , pp. 6567-6572
    • Tibshirani, R.1    Hastie, T.2    Narasimhan, B.3    Chu, G.4
  • 11
    • 27544451127 scopus 로고    scopus 로고
    • Simple decision rules for classifying human cancers from gene expression profiles
    • A.C. Tan, D.Q. Naiman, L. Xu, R.L. Winclow, and D. Geman, "Simple Decision Rules for Classifying Human Cancers from Gene Expression Profiles," Bioinformatics, vol.21, no.20, pp. 3896-3904, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.20 , pp. 3896-3904
    • Tan, A.C.1    Naiman, D.Q.2    Xu, L.3    Winclow, R.L.4    Geman, D.5
  • 13
    • 0024038052 scopus 로고
    • Rough sets: Probabilistic versus deterministic approach
    • Z. Pawlak, S.K.M. Wang, and W. Ziarko, "Rough Sets: Probabilistic versus Deterministic Approach," Int'l J. Man-Machine Studies, vol.29, pp. 81-95, 1988.
    • (1988) Int'l J. Man-Machine Studies , vol.29 , pp. 81-95
    • Pawlak, Z.1    Wang, S.K.M.2    Ziarko, W.3
  • 15
    • 0035155557 scopus 로고    scopus 로고
    • Information granulation and rough set approximation
    • Y.Y. Yao, "Information Granulation and Rough Set Approximation," Int'l J. Intelligent Systems, vol.16, no.1, pp. 87-104, 2000.
    • (2000) Int'l J. Intelligent Systems , vol.16 , Issue.1 , pp. 87-104
    • Yao, Y.Y.1
  • 16
    • 0035416447 scopus 로고    scopus 로고
    • Using rough sets with heuristics for feature selection
    • Aug.
    • N. Zhong, J. Dong, and S. Ohsuga, "Using Rough Sets with Heuristics for Feature Selection," J. Intelligent Information Systems, vol.16, no.3, pp. 199-214, Aug. 2001.
    • (2001) J. Intelligent Information Systems , vol.16 , Issue.3 , pp. 199-214
    • Zhong, N.1    Dong, J.2    Ohsuga, S.3
  • 17
    • 0035427240 scopus 로고    scopus 로고
    • Data classification based on tolerant rough set
    • Aug.
    • D. Kim, "Data Classification Based on Tolerant Rough Set," Pattern Recognition, vol.34, no.8, pp. 1613-1624, Aug. 2001.
    • (2001) Pattern Recognition , vol.34 , Issue.8 , pp. 1613-1624
    • Kim, D.1
  • 19
    • 0036833247 scopus 로고    scopus 로고
    • A rough-fuzzy approach for generating classification rules
    • Nov.
    • Q. Shen and A. Chouchoulas, "A Rough-Fuzzy Approach for Generating Classification Rules," Pattern Recognition, vol.35, no.11, pp. 2425-2438, Nov. 2002.
    • (2002) Pattern Recognition , vol.35 , Issue.11 , pp. 2425-2438
    • Shen, Q.1    Chouchoulas, A.2
  • 21
    • 0037332845 scopus 로고    scopus 로고
    • Fuzzy discretization of feature space for a rough set classifier
    • Mar.
    • A. Roya and S.K. Pal, "Fuzzy Discretization of Feature Space for a Rough Set Classifier," Pattern Recognition Letters, vol.24, no.6, pp. 895-902, Mar. 2003.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.6 , pp. 895-902
    • Roya, A.1    Pal, S.K.2
  • 22
    • 0037332841 scopus 로고    scopus 로고
    • Rough set methods in feature selection and recognition
    • Mar.
    • R.W. Swiniarski and A. Skowron, "Rough Set Methods in Feature Selection and Recognition," Pattern Recognition Letters, vol.24, no.6, pp. 833-849, Mar. 2003.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.6 , pp. 833-849
    • Swiniarski, R.W.1    Skowron, A.2
  • 23
    • 33747086587 scopus 로고    scopus 로고
    • Behavioral pattern identification through rough set modeling
    • J.G. Bazan, "Behavioral Pattern Identification through Rough Set Modeling," Fundamenta Informaticae, vol.72, nos. 1-3, pp. 37-50, 2006.
    • (2006) Fundamenta Informaticae , vol.72 , Issue.1-3 , pp. 37-50
    • Bazan, J.G.1
  • 24
    • 33845523839 scopus 로고    scopus 로고
    • Feature selection based on rough sets and particle swarm optimization
    • DOI 10.1016/j.patrec.2006.09.003, PII S0167865506002327
    • X. Wang, J. Yang, X. Teng, W. Xia, and R. Jensen, "Feature Selection Based on Rough Sets and Particle Swarm Optimization," Pattern Recognition Letters, vol.28, no.4, pp. 459-471, Mar. 2007. (Pubitemid 44920436)
    • (2007) Pattern Recognition Letters , vol.28 , Issue.4 , pp. 459-471
    • Wang, X.1    Yang, J.2    Teng, X.3    Xia, W.4    Jensen, R.5
  • 25
    • 35848955416 scopus 로고    scopus 로고
    • Rough set based approach for inducing decision trees
    • Dec.
    • J.M. Wei, S.Q. Wang, M.Y. Wang, J.P. You, and D.Y. Liu, "Rough Set Based Approach for Inducing Decision Trees," Knowledge-Based Systems, vol.20, no.8, pp. 695-702, Dec. 2007.
    • (2007) Knowledge-Based Systems , vol.20 , Issue.8 , pp. 695-702
    • Wei, J.M.1    Wang, S.Q.2    Wang, M.Y.3    You, J.P.4    Liu, D.Y.5
  • 27
    • 0022151072 scopus 로고
    • An analytical comparison of some rule-learning programs
    • Nov.
    • A. Bundy, B. Silver, and D. Plummer, "An Analytical Comparison of Some Rule-Learning Programs," Artificial Intelligence, vol.27, no.2, pp. 137-181, Nov. 1985.
    • (1985) Artificial Intelligence , vol.27 , Issue.2 , pp. 137-181
    • Bundy, A.1    Silver, B.2    Plummer, D.3
  • 28
    • 0026156490 scopus 로고
    • A nearest hyperrectangle learning method
    • May
    • S. Salzberg, "A Nearest Hyperrectangle Learning Method," Machine Learning, vol.6, no.3, pp. 251-276, May 1991.
    • (1991) Machine Learning , vol.6 , Issue.3 , pp. 251-276
    • Salzberg, S.1
  • 29
    • 0002564447 scopus 로고
    • An experimental comparison of the nearest-neighbor and nearest-hyperrectangle algorithms
    • Apr.
    • D. Wettschereck and T.G. Dietterich, "An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms," Machine Learning, vol.19, no.1, pp. 5-27, Apr. 1995.
    • (1995) Machine Learning , vol.19 , Issue.1 , pp. 5-27
    • Wettschereck, D.1    Dietterich, T.G.2
  • 30
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Jan.
    • T.M. Cover and P.E. Hart, "Nearest Neighbor Pattern Classification," IEEE Trans. Information Theory, vol.13, no.1, pp. 21-27, Jan. 1967.
    • (1967) IEEE Trans. Information Theory , vol.13 , Issue.1 , pp. 21-27
    • Cover, T.M.1    Hart, P.E.2
  • 31
    • 84931162639 scopus 로고
    • The condensed nearest neighbor rule
    • May
    • P.E. Hart, "The Condensed Nearest Neighbor Rule," IEEE Trans. Information Theory, vol.IT-14, no.3, pp. 515-516, May 1968.
    • (1968) IEEE Trans. Information Theory , vol.IT-14 , Issue.3 , pp. 515-516
    • Hart, P.E.1
  • 33
    • 37349000869 scopus 로고    scopus 로고
    • Approximate boolean reasoning: Foundations and applications in data mining
    • H.S. Nguyen, "Approximate Boolean Reasoning: Foundations and Applications in Data Mining," Trans. Rough Sets V, vol.4100, pp. 334-506, 2006.
    • (2006) Trans. Rough Sets v , vol.4100 , pp. 334-506
    • Nguyen, H.S.1
  • 35
    • 0028547556 scopus 로고
    • Floating search methods in feature selection
    • P. Pudil, J. Novovicova, and J. Kittler, "Floating Search Methods in Feature Selection," Pattern Recognition Letters, vol.15, no.11, pp. 1119-1125, 1994.
    • (1994) Pattern Recognition Letters , vol.15 , Issue.11 , pp. 1119-1125
    • Pudil, P.1    Novovicova, J.2    Kittler, J.3
  • 41
    • 0030365938 scopus 로고    scopus 로고
    • Error correlation and error reduction in ensemble classifiers
    • Dec.
    • K. Tumer and J. Ghosh, "Error Correlation and Error Reduction in Ensemble Classifiers," Connection Science, vol.8, no.3, pp. 385-404, Dec. 1996.
    • (1996) Connection Science , vol.8 , Issue.3 , pp. 385-404
    • Tumer, K.1    Ghosh, J.2
  • 42
    • 0032095527 scopus 로고    scopus 로고
    • Making use of population information in evolutionary artificial neural networks
    • June
    • X. Yao and Y. Liu, "Making Use of Population Information in Evolutionary Artificial Neural Networks," IEEE Trans. Systems, Man, and Cybernetics-Part B: Cybernetics, vol.28, no.3, pp. 417-425, June 1998.
    • (1998) IEEE Trans. Systems, Man, and Cybernetics-Part B: Cybernetics , vol.28 , Issue.3 , pp. 417-425
    • Yao, X.1    Liu, Y.2
  • 43
    • 22444454265 scopus 로고    scopus 로고
    • Combining classifiers: A theoretical framework
    • Mar.
    • J. Kittler, "Combining Classifiers: A Theoretical Framework," Pattern Analysis and Applications, vol.1, no.1, pp. 18-27. Mar. 1998.
    • (1998) Pattern Analysis and Applications , vol.1 , Issue.1 , pp. 18-27
    • Kittler, J.1
  • 45
    • 0142025124 scopus 로고    scopus 로고
    • Constructing support vector machine ensemble
    • Dec.
    • H.C. Kim, S. Pang, H.M. Je, D. Kim, and S.Y. Bang, "Constructing Support Vector Machine Ensemble," Pattern Recognition, vol.36, no.12, pp. 2757-2767, Dec. 2003.
    • (2003) Pattern Recognition , vol.36 , Issue.12 , pp. 2757-2767
    • Kim, H.C.1    Pang, S.2    Je, H.M.3    Kim, D.4    Bang, S.Y.5
  • 46
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling neural networks: Many could be better than all
    • May
    • Z.H. Zhou, J. Wu, and W. Tang, "Ensembling Neural Networks: Many Could Be Better than All," Artificial Intelligence, vol.137, nos. 1/2, pp. 239-263, May 2002.
    • (2002) Artificial Intelligence , vol.137 , Issue.1-2 , pp. 239-263
    • Zhou, Z.H.1    Wu, J.2    Tang, W.3
  • 48
    • 4544223395 scopus 로고    scopus 로고
    • Using rough sets theory and database operations to construct a good ensemble of classifiers for data mining applications
    • X. Hu, "Using Rough Sets Theory and Database Operations to Construct a Good Ensemble of Classifiers for Data Mining Applications," Proc. First IEEE Int'l Conf. Data Mining (ICDM '01), pp. 233-240, 2001.
    • (2001) Proc. First IEEE Int'l Conf. Data Mining (ICDM '01) , pp. 233-240
    • Hu, X.1
  • 49
    • 33745759451 scopus 로고    scopus 로고
    • Hum-PLoc: A novel ensemble classifier for predicting human protein subcellular localization
    • Aug.
    • K.C. Chou and H.B. Shen, "Hum-PLoc: A Novel Ensemble Classifier for Predicting Human Protein Subcellular Localization," Biochemical and Biophysical Research Comm., vol. 347, no. 1, pp. 150-157, Aug. 2006.
    • (2006) Biochemical and Biophysical Research Comm. , vol.347 , Issue.1 , pp. 150-157
    • Chou, K.C.1    Shen, H.B.2
  • 50
    • 33847668306 scopus 로고    scopus 로고
    • Hum-mPLoc: An ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites
    • Apr.
    • H.B. Shen and K.C. Chou, "Hum-mPLoc: An Ensemble Classifier for Large-Scale Human Protein Subcellular Location Prediction by Incorporating Samples with Multiple Sites," Biochemical and Biophysical Research Comm., vol. 355, no. 4, pp. 1006-1011, Apr. 2007.
    • (2007) Biochemical and Biophysical Research Comm. , vol.355 , Issue.4 , pp. 1006-1011
    • Shen, H.B.1    Chou, K.C.2
  • 51
    • 34447095147 scopus 로고    scopus 로고
    • MemType-2L: A web server for predicting membrane proteins and their types by incorporating evolution information through pse-PSSM
    • Aug.
    • K.C. Chou and H.B. Shen, "MemType-2L: A Web Server for Predicting Membrane Proteins and Their Types by Incorporating Evolution Information through Pse-PSSM," Biochemical and Biophysical Research Comm., vol.360, no.2, pp. 339-345, Aug. 2007.
    • (2007) Biochemical and Biophysical Research Comm. , vol.360 , Issue.2 , pp. 339-345
    • Chou, K.C.1    Shen, H.B.2
  • 52
    • 34247544233 scopus 로고    scopus 로고
    • Signal-CF: A subsite-coupled and window-fusing approach for predicting aignal peptides
    • June
    • K.C. Chou and H.B. Shen, "Signal-CF: A Subsite-Coupled and Window-Fusing Approach for Predicting Aignal Peptides," Biochemical and Biophysical Research Comm., vol.357, no.3, pp. 633-640, June 2007.
    • (2007) Biochemical and Biophysical Research Comm. , vol.357 , Issue.3 , pp. 633-640
    • Chou, K.C.1    Shen, H.B.2
  • 53
    • 33747880465 scopus 로고    scopus 로고
    • Ensemble classifier for protein fold pattern recognition
    • H.B. Shen and K.C. Chou, "Ensemble Classifier for Protein Fold Pattern Recognition," Bioinformatics, vol.22, no.14, pp. 1717-1722, 2006.
    • (2006) Bioinformatics , vol.22 , Issue.14 , pp. 1717-1722
    • Shen, H.B.1    Chou, K.C.2
  • 55
    • 34547654182 scopus 로고    scopus 로고
    • EROS: Ensemble rough subspaces
    • Dec.
    • Q. Hu, D. Yu, Z. Xie, and X. Li, "EROS: Ensemble Rough Subspaces," Pattern Recognition, vol.40, no.12, pp. 3728-3739, Dec. 2007.
    • (2007) Pattern Recognition , vol.40 , Issue.12 , pp. 3728-3739
    • Hu, Q.1    Yu, D.2    Xie, Z.3    Li, X.4
  • 56
    • 38349036472 scopus 로고    scopus 로고
    • Combining rough decisions for intelligent text mining using dempsters rule
    • Y. Bi, S. McClean, and T. Anderson, "Combining Rough Decisions for Intelligent Text Mining Using Dempsters Rule," J. Artificial Intelligence Rev., vol.26, pp. 191-209, 2006.
    • (2006) J. Artificial Intelligence Rev. , vol.26 , pp. 191-209
    • Bi, Y.1    McClean, S.2    Anderson, T.3
  • 66
    • 33747182577 scopus 로고    scopus 로고
    • Classifier ensembles for protein structural class prediction with varying homology
    • Sept.
    • K.D. Kedarisetti, L.A. Kurgan, and S. Dick, "Classifier Ensembles for Protein Structural Class Prediction with Varying Homology," Biochemical and Biophysical Research Comm., vol.348, no.3, pp. 981-988, Sept. 2006.
    • (2006) Biochemical and Biophysical Research Comm. , vol.348 , Issue.3 , pp. 981-988
    • Kedarisetti, K.D.1    Kurgan, L.A.2    Dick, S.3
  • 67
    • 33847080827 scopus 로고    scopus 로고
    • Gpos-PLoc: An ensemble classifier for predicting subcellular localization of gram-positive bacterial proteins
    • Jan.
    • H.B. Shen and K.C. Chou, "Gpos-PLoc: An Ensemble Classifier for Predicting Subcellular Localization of Gram-positive Bacterial Proteins," Protein Eng. Design and Selection, vol.20, no.1, pp. 39-46, Jan. 2007.
    • (2007) Protein Eng. Design and Selection , vol.20 , Issue.1 , pp. 39-46
    • Shen, H.B.1    Chou, K.C.2
  • 69
    • 15844413351 scopus 로고    scopus 로고
    • A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
    • A. Statnikov, C.F. Aliferis, I. Tsamardinos, D. Hardin, and S. Levy, "A Comprehensive Evaluation of Multicategory Classification Methods for Microarray Gene Expression Cancer Diagnosis," Bioinformatics, vol.25, no.5, pp. 631-643, 2005.
    • (2005) Bioinformatics , vol.25 , Issue.5 , pp. 631-643
    • Statnikov, A.1    Aliferis, C.F.2    Tsamardinos, I.3    Hardin, D.4    Levy, S.5


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