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Volumn 73, Issue , 2016, Pages 38-46

Can-CSC-GBE: Developing Cost-sensitive Classifier with Gentleboost Ensemble for breast cancer classification using protein amino acids and imbalanced data

Author keywords

Breast cancer; Cost sensitive classifier; GentleBoost ensemble; Imbalanced data; Tissue protein

Indexed keywords

AMINO ACIDS; DISEASES; HYDROPHILICITY; PROTEINS; TISSUE;

EID: 84962349341     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2016.04.002     Document Type: Article
Times cited : (36)

References (28)
  • 1
    • 84930696734 scopus 로고    scopus 로고
    • Estimated cancer incidence, mortality and prevalence worldwide
    • 2012.
    • IARC GLOBOCAN 2012, Estimated cancer incidence, mortality and prevalence worldwide, 2012.
    • (2012)
  • 2
    • 84902573972 scopus 로고    scopus 로고
    • A new feature extraction framework based on wavelets for breast cancer diagnosis
    • Ergin S., Kilinc O. A new feature extraction framework based on wavelets for breast cancer diagnosis. Comput. Biol. Med. 2015, 51:171-182.
    • (2015) Comput. Biol. Med. , vol.51 , pp. 171-182
    • Ergin, S.1    Kilinc, O.2
  • 3
    • 84898655021 scopus 로고    scopus 로고
    • Breast cancer detection from MR images through an auto-probing discrete Fourier transform system
    • Sim K.S., Chia F.K., Nia M.E., Tso C.P., Chong A.K., Abbas S.F., Chong S.S. Breast cancer detection from MR images through an auto-probing discrete Fourier transform system. Comput. Biol. Med. 2015, 49:46-59.
    • (2015) Comput. Biol. Med. , vol.49 , pp. 46-59
    • Sim, K.S.1    Chia, F.K.2    Nia, M.E.3    Tso, C.P.4    Chong, A.K.5    Abbas, S.F.6    Chong, S.S.7
  • 4
    • 84940021555 scopus 로고    scopus 로고
    • Computer-aided diagnosis system based on fuzzy logic for breast cancer categorization
    • Miranda G.H.B., Felipe J.C. Computer-aided diagnosis system based on fuzzy logic for breast cancer categorization. Comput. Biol. Med. 2014, 64:334-346.
    • (2014) Comput. Biol. Med. , vol.64 , pp. 334-346
    • Miranda, G.H.B.1    Felipe, J.C.2
  • 5
    • 84898907371 scopus 로고    scopus 로고
    • IDM-PhyChm-Ens: intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids
    • Safdar A., Majid A., Khan A. IDM-PhyChm-Ens: intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids. Amino Acids 2014, 46:977-993.
    • (2014) Amino Acids , vol.46 , pp. 977-993
    • Safdar, A.1    Majid, A.2    Khan, A.3
  • 7
    • 84874691692 scopus 로고    scopus 로고
    • Improved classification of lung cancer tumors based on structural and physicochemical properties of proteins using data mining models
    • Ramani R.G., Jacob S.G. Improved classification of lung cancer tumors based on structural and physicochemical properties of proteins using data mining models. PLoS One 2013, 8:e58772.
    • (2013) PLoS One , vol.8 , pp. e58772
    • Ramani, R.G.1    Jacob, S.G.2
  • 8
    • 60749111710 scopus 로고    scopus 로고
    • Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices
    • Munteanu C.R., Magalhães A.L., Uriarte E., González-Díaz H. Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices. J. Theor. Biol. 2009, 257:303-311.
    • (2009) J. Theor. Biol. , vol.257 , pp. 303-311
    • Munteanu, C.R.1    Magalhães, A.L.2    Uriarte, E.3    González-Díaz, H.4
  • 9
    • 84880480444 scopus 로고    scopus 로고
    • Sequence-based prediction of dna-binding residues in proteins with conservation and correlation information
    • Xin M., Guo J., Liu H., Xie J., Sun X. Sequence-based prediction of dna-binding residues in proteins with conservation and correlation information. IEEE/ACM Trans. Comput. Biol. Bioinf. 2012, 9:1766-1775.
    • (2012) IEEE/ACM Trans. Comput. Biol. Bioinf. , vol.9 , pp. 1766-1775
    • Xin, M.1    Guo, J.2    Liu, H.3    Xie, J.4    Sun, X.5
  • 10
    • 84882944562 scopus 로고    scopus 로고
    • MitProt-Pred: predicting mitochondrial proteins of plasmodium falciparum parasite using diverse physiochemical properties and ensemble classification
    • Mirza M.T., Khan A., Tahir M., Lee Y.S. MitProt-Pred: predicting mitochondrial proteins of plasmodium falciparum parasite using diverse physiochemical properties and ensemble classification. Comput. Biol. Med. 2013, 43:1502-1511.
    • (2013) Comput. Biol. Med. , vol.43 , pp. 1502-1511
    • Mirza, M.T.1    Khan, A.2    Tahir, M.3    Lee, Y.S.4
  • 12
    • 27344432474 scopus 로고    scopus 로고
    • C4.5 decision tree, class imbalance, and cost sensitivity: why under-sampling beats over-sampling
    • International Conference on Machine Learning
    • C. Drummond, R.C. Holte, C4.5 decision tree, class imbalance, and cost sensitivity: why under-sampling beats over-sampling, in: Proceedings of Workshop on Learning from Imbalanced Data Sets II, International Conference on Machine Learning, 2003.
    • (2003) Proceedings of Workshop on Learning from Imbalanced Data Sets II
    • Drummond, C.1    Holte, R.C.2
  • 13
    • 84894240609 scopus 로고    scopus 로고
    • Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines
    • Majid A., Safdar A., Mubashar I., Nabeela K. Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines. Comput. Methods Programs Biomed. 2014, 113:792-808.
    • (2014) Comput. Methods Programs Biomed. , vol.113 , pp. 792-808
    • Majid, A.1    Safdar, A.2    Mubashar, I.3    Nabeela, K.4
  • 14
    • 84887091192 scopus 로고    scopus 로고
    • An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data
    • Wang K.J., Makond B., Wang K.M. An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data. BMC Med. Inf. Decis. Mak. 2013, 13:124.
    • (2013) BMC Med. Inf. Decis. Mak. , vol.13 , pp. 124
    • Wang, K.J.1    Makond, B.2    Wang, K.M.3
  • 16
    • 70450185450 scopus 로고    scopus 로고
    • A comparative study of ensemble learning approaches in the classification of breast cancer metastasis
    • Systems Biology and Intelligent Computing, IJCBS'09
    • W. Zhang, F. Zeng, X. Wu, X. Zhang, R. Jian, A comparative study of ensemble learning approaches in the classification of breast cancer metastasis, in: Proceedings of IEEE International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS'09, 2009, pp. 242-245.
    • (2009) Proceedings of IEEE International Joint Conference on Bioinformatics , pp. 242-245
    • Zhang, W.1    Zeng, F.2    Wu, X.3    Zhang, X.4    Jian, R.5
  • 17
    • 19344364327 scopus 로고    scopus 로고
    • Predicting breast cancer survivability: a comparison of three data mining methods
    • Delen D., Walker G., Kadam A. Predicting breast cancer survivability: a comparison of three data mining methods. Artif. Intell. Med. 2005, 34:113-127.
    • (2005) Artif. Intell. Med. , vol.34 , pp. 113-127
    • Delen, D.1    Walker, G.2    Kadam, A.3
  • 18
    • 79960872876 scopus 로고    scopus 로고
    • Predicting disease risks from highly imbalanced data using random forest
    • Khalilia M., Chakraborty S., Popescu M. Predicting disease risks from highly imbalanced data using random forest. BMC Med. Inf. Decis. Mak. 2011, 11:51.
    • (2011) BMC Med. Inf. Decis. Mak. , vol.11 , pp. 51
    • Khalilia, M.1    Chakraborty, S.2    Popescu, M.3
  • 19
    • 84934780081 scopus 로고    scopus 로고
    • Breast cancer diagnosis in digitized mammograms using curvelet moments
    • Dhahbi S., Barhoumi W., Zagrouba E. Breast cancer diagnosis in digitized mammograms using curvelet moments. Comput. Biol. Med. 2015, 64:79-90.
    • (2015) Comput. Biol. Med. , vol.64 , pp. 79-90
    • Dhahbi, S.1    Barhoumi, W.2    Zagrouba, E.3
  • 20
    • 33748287103 scopus 로고    scopus 로고
    • Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network
    • Chen C., Zhou X., Tian Y., Zou X., Cai P. Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network. Anal. Biochem. 2006, 357:116-121.
    • (2006) Anal. Biochem. , vol.357 , pp. 116-121
    • Chen, C.1    Zhou, X.2    Tian, Y.3    Zou, X.4    Cai, P.5
  • 21
    • 84862763732 scopus 로고    scopus 로고
    • Prediction of membrane proteins using split amino acid and ensemble classification
    • Maqsood H., Khan A., Yeasin M. Prediction of membrane proteins using split amino acid and ensemble classification. Amino Acids 2012, 42:2447-2460.
    • (2012) Amino Acids , vol.42 , pp. 2447-2460
    • Maqsood, H.1    Khan, A.2    Yeasin, M.3
  • 22
    • 12744279642 scopus 로고    scopus 로고
    • Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes
    • Chou K.C. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics 2005, 21:10-19.
    • (2005) Bioinformatics , vol.21 , pp. 10-19
    • Chou, K.C.1
  • 23
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • Breiman L. Stacked regressions. Mach. Learn. 1996, 24:49-64.
    • (1996) Mach. Learn. , vol.24 , pp. 49-64
    • Breiman, L.1
  • 25
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire R. The strength of weak learnability. Mach. Learn. 1990, 5:197-227.
    • (1990) Mach. Learn. , vol.5 , pp. 197-227
    • Schapire, R.1
  • 26
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: a statistical view of boosting
    • Friedman J., Hastie T., Tibshirani R. Additive logistic regression: a statistical view of boosting. Ann. Stat. 2000, 28:337-407.
    • (2000) Ann. Stat. , vol.28 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 27
    • 60749111710 scopus 로고    scopus 로고
    • Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices
    • Munteanu C.R., Magalhães A.L., Uriarte E., González-Díaz H. Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices. J. Theor. Biol. 2009, 257:303-311.
    • (2009) J. Theor. Biol. , vol.257 , pp. 303-311
    • Munteanu, C.R.1    Magalhães, A.L.2    Uriarte, E.3    González-Díaz, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.