메뉴 건너뛰기




Volumn 25, Issue 24, 2009, Pages 3213-3220

A Bayesian approach to the alignment of mass spectra

Author keywords

[No Author keywords available]

Indexed keywords

PROTEOME;

EID: 75849128985     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp582     Document Type: Article
Times cited : (10)

References (19)
  • 1
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: a practical and powerful approach to multiple testing
    • Benjamini, Y. and Hochberg, Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B (Methodol.), 57, 289-300.
    • (1995) J. R. Stat. Soc. Ser. B (Methodol.) , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 2
    • 55149102004 scopus 로고    scopus 로고
    • False discovery rate revisited: FDR and topological inference using Gaussian random fields
    • Chumbley, J.R. and Friston, K.J. (2009) False discovery rate revisited: FDR and topological inference using Gaussian random fields. Neuroimage, 44, 62-70.
    • (2009) Neuroimage , vol.44 , pp. 62-70
    • Chumbley, J.R.1    Friston, K.J.2
  • 3
    • 18744410496 scopus 로고    scopus 로고
    • Understanding the characteristics of mass spectrometry data through the use of simulation
    • Coombes, K.R. et al. (2005) Understanding the characteristics of mass spectrometry data through the use of simulation. Cancer Inform., 1, 41-52.
    • (2005) Cancer Inform. , vol.1 , pp. 41-52
    • Coombes, K.R.1
  • 4
    • 33644747548 scopus 로고    scopus 로고
    • Feature selection and machine learning with mass spectrometryd ata for distinguishing cancer and noncancer samples
    • Datta, S. and DePadilla, L. (2006) Feature selection and machine learning with mass spectrometryd ata for distinguishing cancer and noncancer samples. Stat. Methodol., 3, 79-92.
    • (2006) Stat. Methodol. , vol.3 , pp. 79-92
    • Datta, S.1    DePadilla, L.2
  • 5
    • 33748659203 scopus 로고    scopus 로고
    • Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
    • Du, P. et al. (2006) Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching, Bioinformatics, 22, 2059-2065.
    • (2006) Bioinformatics , vol.22 , pp. 2059-2065
    • Du, P.1
  • 6
    • 0347758340 scopus 로고    scopus 로고
    • Parametric time warping
    • Eilers, P.H. (2004) Parametric time warping. Anal. Chem., 76, 404-411.
    • (2004) Anal. Chem. , vol.76 , pp. 404-411
    • Eilers, P.H.1
  • 7
    • 33749238661 scopus 로고    scopus 로고
    • Cluster based analysis of fMRI data
    • Heller, R. et al. (2006) Cluster based analysis of fMRI data. Neuroimage, 33, 599-608.
    • (2006) Neuroimage , vol.33 , pp. 599-608
    • Heller, R.1
  • 8
    • 75849141109 scopus 로고    scopus 로고
    • Nonparametric models for peak identification and quantification in mass spectroscopy, with application to MALDI-TOF
    • Duke University Department of Statistical Science
    • House, L. et al. (2006) Nonparametric models for peak identification and quantification in mass spectroscopy, with application to MALDI-TOF. Discussion Paper 2006-24, Duke University Department of Statistical Science.
    • (2006) Discussion Paper 2006-24
    • House, L.1
  • 9
    • 84898983966 scopus 로고    scopus 로고
    • Multiple alignment of continuous time series
    • Saul, L.K. et al. (eds), MIT Press, Cambridge, MA
    • Listgarten, J. et al. (2005) Multiple alignment of continuous time series. In Saul, L.K. et al. (eds) Advances in Neural Information Processing Systems, Vol. 17. MIT Press, Cambridge, MA.
    • (2005) Advances in Neural Information Processing Systems , vol.17
    • Listgarten, J.1
  • 10
    • 18744384734 scopus 로고    scopus 로고
    • Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrum
    • Morris, J.S. et al. (2005) Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrum. Bioinformatics, 21, 1764-1775.
    • (2005) Bioinformatics , vol.21 , pp. 1764-1775
    • Morris, J.S.1
  • 11
    • 43949121435 scopus 로고    scopus 로고
    • Bayesian analysis of mass spectrometry proteomic data using wavelet-based functional mixed models
    • Morris, J. et al. (2007) Bayesian analysis of mass spectrometry proteomic data using wavelet-based functional mixed models. Biometrics, 64, 479-489.
    • (2007) Biometrics , vol.64 , pp. 479-489
    • Morris, J.1
  • 12
    • 10944263500 scopus 로고    scopus 로고
    • Using image and curve registration for measuring the goodness of fit of spatial and temporal predictions
    • Reilly, C. et al. (2004) Using image and curve registration for measuring the goodness of fit of spatial and temporal predictions. Biometrics, 60, 954-964.
    • (2004) Biometrics , vol.60 , pp. 954-964
    • Reilly, C.1
  • 13
    • 0017930815 scopus 로고
    • Dynamic programming algorithm optimization for spoken word recognition
    • Sakoe, H. and Chiba, S. (1978) Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. ASSP, 26, 43-49.
    • (1978) IEEE Trans. ASSP , vol.26 , pp. 43-49
    • Sakoe, H.1    Chiba, S.2
  • 14
    • 10244279272 scopus 로고    scopus 로고
    • Sample classification from protein mass spectrometry, 'by peak probability contrasts'
    • Tibshirani, R. et al. (2004) Sample classification from protein mass spectrometry, 'by peak probability contrasts'. Bioinformatics, 20, 3034-3044.
    • (2004) Bioinformatics , vol.20 , pp. 3034-3044
    • Tibshirani, R.1
  • 15
    • 40549126588 scopus 로고    scopus 로고
    • Alignment of LC-MS images, with applications to biomarker discovery and protein identification
    • Vandenbogaert, V. (2008) Alignment of LC-MS images, with applications to biomarker discovery and protein identification. Proteomics, 8, 650-674.
    • (2008) Proteomics , vol.8 , pp. 650-674
    • Vandenbogaert, V.1
  • 16
    • 75849148187 scopus 로고    scopus 로고
    • Statistical methods in analyzing mass spectrometry dataset
    • Wu, B.L. (2004) Statistical methods in analyzing mass spectrometry dataset. Dissertation.
    • (2004) Dissertation
    • Wu, B.L.1
  • 17
    • 75849163105 scopus 로고    scopus 로고
    • Profiling high-dimensional protein expression using MALDI-TOF mass spectrometry for biomarker discovery
    • Crowley, J. and Ankerst, D.P. (eds), 2nd edn. Chapman-Hall/CRC, New York
    • Yasui, Y. et al. (2006) Profiling high-dimensional protein expression using MALDI-TOF mass spectrometry for biomarker discovery. In Crowley, J. and Ankerst, D.P. (eds) Handbook of Statistics in Clinical Oncology, 2nd edn. Chapman-Hall/CRC, New York.
    • (2006) Handbook of Statistics in Clinical Oncology
    • Yasui, Y.1
  • 18
    • 33746745420 scopus 로고    scopus 로고
    • Multiple peak alignment in sequential data analysis: a scale-space based approach
    • Yu, W. et al. (2006) Multiple peak alignment in sequential data analysis: a scale-space based approach. IEEE/ACM Trans. Comput. Biol. Bioinform., 3, 208-219.
    • (2006) IEEE/ACM Trans. Comput. Biol. Bioinform. , vol.3 , pp. 208-219
    • Yu, W.1
  • 19
    • 32944472394 scopus 로고    scopus 로고
    • Analysis of chronic lung transplant rejection by MALDI-TOF profiles of bronchoalveolar lavage fluid
    • Zhang, Y. et al. (2005) Analysis of chronic lung transplant rejection by MALDI-TOF profiles of bronchoalveolar lavage fluid. Proteomics, 6, 1001-1012.
    • (2005) Proteomics , vol.6 , pp. 1001-1012
    • Zhang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.