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Volumn 26, Issue , 2012, Pages 207-215

Dimensionality reduction and main component extraction of mass spectrometry cancer data

Author keywords

Dimensionality reduction; Feature extraction; Main components; Mass spectrometry data; Wavelet analysis

Indexed keywords

APPROXIMATION COEFFICIENTS; CANCER DATA; CANCER TISSUES; DATA SETS; DIMENSIONALITY REDUCTION; ENERGY DISTRIBUTIONS; FEATURE SPACE; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL; LOCAL PROPERTY; MAIN COMPONENT; MASS SPECTRA; MASS SPECTROMETRY DATA; NORMAL TISSUE; ORTHOGONAL WAVELETS; TRAINING SAMPLE; WAVELET BASIS;

EID: 84155189114     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.08.006     Document Type: Article
Times cited : (27)

References (26)
  • 2
    • 0347181849 scopus 로고    scopus 로고
    • A data review and re-assessment of ovarian cancer serum proteomic profiling
    • J.M. Sorace, and M. Zhan A data review and re-assessment of ovarian cancer serum proteomic profiling BMC Bioinf. 4 2003
    • (2003) BMC Bioinf. , vol.4
    • Sorace, J.M.1    Zhan, M.2
  • 3
    • 0036996552 scopus 로고    scopus 로고
    • Genomics and proteomics: Application of novel technology to early detection and prevention of cancer
    • DOI 10.1016/S0361-090X(02)00092-2, PII S0361090X02000922
    • C.M. Michener, A.M. Ardekani, E.F. Third Petricoin, L.A. Liotta, and E.C. Kohn Genomics and proteomics: application of novel technology to early detection and prevention of cancer Cancer Detect Prev. 26 2002 249 255 (Pubitemid 36211103)
    • (2002) Cancer Detection and Prevention , vol.26 , Issue.4 , pp. 249-255
    • Michener, C.M.1    Ardekani, A.M.2    Petricoin III, E.F.3    Liotta, L.A.4    Kohn, E.C.5
  • 7
    • 0742269626 scopus 로고    scopus 로고
    • Probabilistic Disease Classification of Expression-Dependent Proteomic Data from Mass Spectrometry of Human Serum
    • DOI 10.1089/106652703322756159
    • R.H. Lilien, H. Farid, and B.R. Donald Probabilistic disease classification of expression-dependent proteomic data from mass spectrometry of human serum Comput. Biol. 10 2003 925 946 (Pubitemid 38156406)
    • (2003) Journal of Computational Biology , vol.10 , Issue.6 , pp. 925-946
    • Lilien, R.H.1    Farid, H.2    Donald, B.R.3
  • 8
    • 38049098638 scopus 로고    scopus 로고
    • Feature Extraction for Mass Spectrometry Data
    • Y. Liu Feature Extraction for Mass Spectrometry Data Lect. Notes Comput. Sci. 4689 2007 188 196
    • (2007) Lect. Notes Comput. Sci. , vol.4689 , pp. 188-196
    • Liu, Y.1
  • 9
    • 67849084657 scopus 로고    scopus 로고
    • Feature extraction and dimensionality reduction for mass spectrometry data
    • Y. Liu Feature extraction and dimensionality reduction for mass spectrometry data Comput. Biol. Med. 39 2009 818 823
    • (2009) Comput. Biol. Med. , vol.39 , pp. 818-823
    • Liu, Y.1
  • 10
    • 19544394460 scopus 로고    scopus 로고
    • Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data
    • DOI 10.1093/bioinformatics/bti370
    • J.S. Yu, S. Ongarello, R. Fiedler, X.W. Chen, G. Toffolo, C. Cobelli, and Z. Trajanoski Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data Bioinformatics 21 2005 2200 2209 (Pubitemid 40731571)
    • (2005) Bioinformatics , vol.21 , Issue.10 , pp. 2200-2209
    • Yu, J.S.1    Ongarello, S.2    Fiedler, R.3    Chen, X.W.4    Toffolo, G.5    Cobelli, C.6    Trajanoski, Z.7
  • 11
    • 25444463295 scopus 로고    scopus 로고
    • Feature selection and nearest centroid classification for protein mass spectrometry
    • I. Levner Feature selection and nearest centroid classification for protein mass spectrometry BMC Bioinf. 6 2005
    • (2005) BMC Bioinf. , vol.6
    • Levner, I.1
  • 12
    • 13244277613 scopus 로고    scopus 로고
    • Performance of a genetic algorithm for mass spectrometry proteomics
    • N.O. Jeffries Performance of a genetic algorithm for mass spectrometry proteomics BMC Bioinf. 5 2004
    • (2004) BMC Bioinf. , vol.5
    • Jeffries, N.O.1
  • 16
    • 84990575058 scopus 로고
    • Orthonormal bases of compactly supported wavelets
    • I. Daubechies Orthonormal bases of compactly supported wavelets Commun. Pure Appl. Math. 41 1988 909 996
    • (1988) Commun. Pure Appl. Math. , vol.41 , pp. 909-996
    • Daubechies, I.1
  • 18
    • 84945717394 scopus 로고
    • IEEE DSP committee edited
    • IEEE Press, New York
    • IEEE DSP committee edited, Programs for Digital Signal Processing, IEEE Press, New York, 1979.
    • (1979) Programs for Digital Signal Processing
  • 19
    • 80955181170 scopus 로고    scopus 로고
    • A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm
    • H. Uguz A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm Knowl.-Based Syst. 24 2011 1024 1032
    • (2011) Knowl.-Based Syst. , vol.24 , pp. 1024-1032
    • Uguz, H.1
  • 20
    • 67349242422 scopus 로고    scopus 로고
    • A filter model for feature subset selection based on genetic algorithm
    • M.E. ElAlami A filter model for feature subset selection based on genetic algorithm Knowl.-Based Syst. 22 2009 356 362
    • (2009) Knowl.-Based Syst. , vol.22 , pp. 356-362
    • Elalami, M.E.1
  • 21
    • 79957440082 scopus 로고    scopus 로고
    • A new feature selection algorithm based on binomial hypothesis testing for spam filtering
    • J. Yang, Y. Liu, Z. Liu, X. Zhu, and X. Zhang A new feature selection algorithm based on binomial hypothesis testing for spam filtering Knowl.-Based Syst. 24 2011 904 914
    • (2011) Knowl.-Based Syst. , vol.24 , pp. 904-914
    • Yang, J.1    Liu, Y.2    Liu, Z.3    Zhu, X.4    Zhang, X.5
  • 22
    • 59349101361 scopus 로고    scopus 로고
    • Feature selection in bankruptcy prediction
    • C. Tsai Feature selection in bankruptcy prediction Knowl.-Based Syst. 22 2009 120 127
    • (2009) Knowl.-Based Syst. , vol.22 , pp. 120-127
    • Tsai, C.1
  • 23
    • 78650802610 scopus 로고    scopus 로고
    • A rough set approach to feature selection based on power set tree
    • Y. Chen, D. Miao, R. Wang, and K. Wu A rough set approach to feature selection based on power set tree Knowl.-Based Syst. 24 2011 275 281
    • (2011) Knowl.-Based Syst. , vol.24 , pp. 275-281
    • Chen, Y.1    Miao, D.2    Wang, R.3    Wu, K.4
  • 24
    • 67149136352 scopus 로고    scopus 로고
    • Find significant gene information based on changing points of microarray data
    • Y. Liu, and L. Bai Find significant gene information based on changing points of microarray data IEEE Trans. Biomed. Eng. 56 2009 1108 1116
    • (2009) IEEE Trans. Biomed. Eng. , vol.56 , pp. 1108-1116
    • Liu, Y.1    Bai, L.2
  • 25
    • 70350622961 scopus 로고    scopus 로고
    • Prominent feature selection of microarray data
    • Y. Liu Prominent feature selection of microarray data Progr. Nat. Sci. 19 2009 1365 1371
    • (2009) Progr. Nat. Sci. , vol.19 , pp. 1365-1371
    • Liu, Y.1
  • 26
    • 58149468839 scopus 로고    scopus 로고
    • Wavelet feature extraction for high-dimensional microarray data
    • Y. Liu Wavelet feature extraction for high-dimensional microarray data Neurocomputing 72 2009 985 990
    • (2009) Neurocomputing , vol.72 , pp. 985-990
    • Liu, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.