메뉴 건너뛰기




Volumn , Issue , 2013, Pages 584-591

Enhanced feature selection for biomarker discovery in LC-MS data using GP

Author keywords

[No Author keywords available]

Indexed keywords

BIO-MARKER DISCOVERY; CLASSIFICATION ACCURACY; DETECTION RATES; FEATURE SELECTION ALGORITHM; NUMBER OF SAMPLES; SAMPLE SIZES; SUPPORT VECTOR; SUPPORT VECTOR MACHINE (SVMS);

EID: 84881571981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2013.6557621     Document Type: Conference Paper
Times cited : (34)

References (34)
  • 2
    • 70349664473 scopus 로고    scopus 로고
    • How-to guide on biomarkers: Biomarker definitions, validation and applications with examples from cardiovascular disease
    • V. O. Puntmann, "How-to guide on biomarkers: biomarker definitions, validation and applications with examples from cardiovascular disease," Postgraduate Medical Journal, vol. 85, no. 1008, pp. 538-545, 2009.
    • (2009) Postgraduate Medical Journal , vol.85 , Issue.1008 , pp. 538-545
    • Puntmann, V.O.1
  • 4
    • 84875122317 scopus 로고    scopus 로고
    • Feature selection and classification of high dimensional mass spectrometry data: A genetic programming approach
    • S. Ahmed, M. Zhang, and L. Peng, "Feature selection and classification of high dimensional mass spectrometry data: A genetic programming approach," in EvoBIO, 2013, pp. 43-55.
    • (2013) EvoBIO , pp. 43-55
    • Ahmed, S.1    Zhang, M.2    Peng, L.3
  • 7
    • 84864221517 scopus 로고    scopus 로고
    • Analysis of premalignant pancreatic cancer mass spectrometry data for biomarker selection using a group search optimizer
    • S. He, H. J. Cooper, D. G. Ward, X. Yao, and J. K. Heath, "Analysis of premalignant pancreatic cancer mass spectrometry data for biomarker selection using a group search optimizer," Transactions of the Institute of Measurement and Control, pp. 668-676, 2011.
    • (2011) Transactions of the Institute of Measurement and Control , pp. 668-676
    • He, S.1    Cooper, H.J.2    Ward, D.G.3    Yao, X.4    Heath, J.K.5
  • 8
    • 0141631754 scopus 로고    scopus 로고
    • Protocols for disease classification from mass spectrometry data
    • M. Wagner, D. Naik, and A. Pothen, "Protocols for disease classification from mass spectrometry data," PROTEOMICS, vol. 3, no. 9, pp. 1692-1698, 2003.
    • (2003) PROTEOMICS , vol.3 , Issue.9 , pp. 1692-1698
    • Wagner, M.1    Naik, D.2    Pothen, A.3
  • 9
    • 33745624543 scopus 로고    scopus 로고
    • Label-free semiquantitative peptide feature profiling of human breast cancer and breast disease sera via two-dimensional liquid chromatography-mass spectrometry
    • June
    • Q. C. Ru, L. A. Zhu, J. Silberman, and C. D. Shriver, "Label-free Semiquantitative Peptide Feature Profiling of Human Breast Cancer and Breast Disease Sera via Two-dimensional Liquid Chromatography-Mass Spectrometry," Molecular and Cellular Proteomics, vol. 5, no. 6, pp. 1095-1104, June 2006.
    • (2006) Molecular and Cellular Proteomics , vol.5 , Issue.6 , pp. 1095-1104
    • Ru, Q.C.1    Zhu, L.A.2    Silberman, J.3    Shriver, C.D.4
  • 11
    • 2442517316 scopus 로고    scopus 로고
    • Multivariate approaches for efficient detection of potential metabolites from liquid chromatography/mass spectrometry data
    • H. Idborg, P.-O. Edlund, and S. P. Jacobsson, "Multivariate approaches for efficient detection of potential metabolites from liquid chromatography/mass spectrometry data," Rapid Communications in Mass Spectrometry, vol. 18, no. 9, pp. 944-954, 2004.
    • (2004) Rapid Communications in Mass Spectrometry , vol.18 , Issue.9 , pp. 944-954
    • Idborg, H.1    Edlund, P.-O.2    Jacobsson, S.P.3
  • 12
    • 58349113039 scopus 로고    scopus 로고
    • Genetic programming for feature ranking in classification problems
    • K. Neshatian, M. Zhang, and P. Andreae, "Genetic Programming for Feature Ranking in Classification Problems," in SEAL, 2008, pp. 544-554.
    • (2008) SEAL , pp. 544-554
    • Neshatian, K.1    Zhang, M.2    Andreae, P.3
  • 15
    • 84867043811 scopus 로고    scopus 로고
    • A filter approach to multiple feature construction for symbolic learning classifiers using genetic programming
    • K. Neshatian, M. Zhang, and P. Andreae, "A filter approach to multiple feature construction for symbolic learning classifiers using genetic programming," IEEE Trans. Evolutionary Computation, vol. 16, no. 5, pp. 645-661, 2012.
    • (2012) IEEE Trans. Evolutionary Computation , vol.16 , Issue.5 , pp. 645-661
    • Neshatian, K.1    Zhang, M.2    Andreae, P.3
  • 17
    • 34247214462 scopus 로고    scopus 로고
    • Feature selection and molecular classification of cancer using genetic programming
    • Apr
    • Yu, Jianjun, Yu, Jindan, Almal, A. Arpit, Dhanasekaran, M. Saravana, Ghosh, Debashis, Worzel, P. William, Chinnaiyan, and M. Arul, "Feature Selection and Molecular Classification of Cancer Using Genetic Programming," Neoplasia, vol. 9, no. 4, pp. 292-303, Apr. 2007.
    • (2007) Neoplasia , vol.9 , Issue.4 , pp. 292-303
    • Jianjun, Y.1    Jindan, Y.2    Arpit, A.A.3    Saravana, D.M.4    Debashis, G.5    Chinnaiyan William, W.P.6    Arul, M.7
  • 18
    • 0000384929 scopus 로고    scopus 로고
    • Genetic programming: A novel method for the quantitative analysis of pyrolysis mass spectral data
    • R. J. Gilbert, R. Goodacre, A. M. Woodward, and D. B. Kell, "Genetic programming:a novel method for the quantitative analysis of pyrolysis mass spectral data," Analytical Chemistry, vol. 69, no. 21, pp. 4381-4389, 1997.
    • (1997) Analytical Chemistry , vol.69 , Issue.21 , pp. 4381-4389
    • Gilbert, R.J.1    Goodacre, R.2    Woodward, A.M.3    Kell, D.B.4
  • 20
    • 0038699591 scopus 로고    scopus 로고
    • High-throughput classification of yeast mutants for functional genomics using metabolic footprinting
    • J. Allen, H. Davey, D. Broadhurst, J. Heald, J. Rowland, S. Oliver, and D. Kell, "High-throughput classification of yeast mutants for functional genomics using metabolic footprinting." Nature Biotechnology, vol. 21, no. 5, pp. 692-6, 2003.
    • (2003) Nature Biotechnology , vol.21 , Issue.5 , pp. 692-696
    • Allen, J.1    Davey, H.2    Broadhurst, D.3    Heald, J.4    Rowland, J.5    Oliver, S.6    Kell, D.7
  • 21
    • 0037370292 scopus 로고    scopus 로고
    • Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry
    • R. Goodacre, E. York, J. Heald, and I. Scott, "Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry." Phytochemistry, vol. 62, no. 5, pp. 859-63, 2003.
    • (2003) Phytochemistry , vol.62 , Issue.5 , pp. 859-863
    • Goodacre, R.1    York, E.2    Heald, J.3    Scott, I.4
  • 23
    • 0036042222 scopus 로고    scopus 로고
    • Metabolomics and machine learning: Explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules
    • D. B. Kell, "Metabolomics and Machine Learning: Explanatory Analysis of Complex Metabolome Data Using Genetic Programming to Produce Simple, Robust Rules," Molecular Biology Reports, vol. 29, no. 1-2, pp. 237-241, 2002.
    • (2002) Molecular Biology Reports , vol.29 , Issue.1-2 , pp. 237-241
    • Kell, D.B.1
  • 24
    • 17844394177 scopus 로고    scopus 로고
    • Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry
    • J. Listgarten and A. Emili, "Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry," Mol. Cell. Proteomics, vol. 4, pp. 419-434, 2005.
    • (2005) Mol. Cell. Proteomics , vol.4 , pp. 419-434
    • Listgarten, J.1    Emili, A.2
  • 27
    • 31744443319 scopus 로고    scopus 로고
    • Genetic programming for simultaneous feature selection and classifier design," Systems, Man, and Cybernetics, Part B: Cybernetics
    • feb
    • D. Muni, N. Pal, and J. Das, "Genetic programming for simultaneous feature selection and classifier design," Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, vol. 36, no. 1, pp. 106-117, feb. 2006.
    • (2006) IEEE Transactions on , vol.36 , Issue.1 , pp. 106-117
    • Muni, D.1    Pal, N.2    Das, J.3
  • 28
    • 0016772212 scopus 로고
    • Comparison of the predicted and observed secondary structure of t4 phage lysozyme
    • B. Matthews, "Comparison of the predicted and observed secondary structure of t4 phage lysozyme," Biochimica et Biophysica Acta (BBA)-Protein Structure, vol. 405, no. 2, pp. 442-451, 1975.
    • (1975) Biochimica et Biophysica Acta (BBA)-Protein Structure , vol.405 , Issue.2 , pp. 442-451
    • Matthews, B.1
  • 30
    • 24644486665 scopus 로고    scopus 로고
    • Using genetic programming for multiclass classification by simultaneously solving component binary classification problems
    • M. Keijzer, A. Tettamanzi, P. Collet, J. Hemert, and M. Tomassini, Eds Springer Berlin Heidelberg
    • W. Smart and M. Zhang, "Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems," in Genetic Programming, ser. Lecture Notes in Computer Science, M. Keijzer, A. Tettamanzi, P. Collet, J. Hemert, and M. Tomassini, Eds. Springer Berlin Heidelberg, vol. 3447, pp. 227-239.
    • Genetic Programming, Ser. Lecture Notes in Computer Science , vol.3447 , pp. 227-239
    • Smart, W.1    Zhang, M.2
  • 34
    • 0141738784 scopus 로고    scopus 로고
    • Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
    • B. Wu, T. Abbott, D. Fishman, W. McMurray, G. Mor, K. Stone, D. Ward, K. Williams, and H. Zhao, "Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data," Bioinformatics, vol. 19, no. 13, pp. 1636-1643, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.13 , pp. 1636-1643
    • Wu, B.1    Abbott, T.2    Fishman, D.3    McMurray, W.4    Mor, G.5    Stone, K.6    Ward, D.7    Williams, K.8    Zhao, H.9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.