Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms
暂无分享,去创建一个
Concha Bielza | Pedro Larrañaga | Yvan Saeys | Iñaki Inza | Yves Van de Peer | Miguel García-Torres | Rubén Armañanzas | C. Bielza | Y. Saeys | Iñaki Inza | P. Larrañaga | Y. Peer | M. García-Torres | Rubén Armañanzas | R. Armañanzas | Ruben Armañanzas Arnedillo
[1] E. Petricoin,et al. Use of proteomic patterns in serum to identify ovarian cancer , 2002, The Lancet.
[2] Jeffrey S. Morris,et al. Signal in noise: evaluating reported reproducibility of serum proteomic tests for ovarian cancer. , 2005, Journal of the National Cancer Institute.
[3] Concha Bielza,et al. Machine Learning in Bioinformatics , 2008, Encyclopedia of Database Systems.
[4] Jeffrey S. Morris,et al. Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments , 2004, Bioinform..
[5] Habtom W. Ressom,et al. Peak selection from MALDI-TOF mass spectra using ant colony optimization , 2007, Bioinform..
[6] Marcel J. T. Reinders,et al. Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data , 2008, BMC Bioinformatics.
[7] Xiaohui Liu,et al. Consensus clustering and functional interpretation of gene-expression data , 2004, Genome Biology.
[8] Concha Bielza,et al. A review of estimation of distribution algorithms in bioinformatics , 2008, BioData Mining.
[9] Dirk Thierens,et al. Linkage Information Processing In Distribution Estimation Algorithms , 1999, GECCO.
[10] Cesare Furlanello,et al. Machine learning methods for predictive proteomics , 2007, Briefings Bioinform..
[11] Yvan Saeys,et al. Robust Feature Selection Using Ensemble Feature Selection Techniques , 2008, ECML/PKDD.
[12] Juha Reunanen,et al. Overfitting in Making Comparisons Between Variable Selection Methods , 2003, J. Mach. Learn. Res..
[13] Melanie Hilario,et al. On Preprocessing of SELDI-MS Data and its Evaluation , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).
[14] Robert Tibshirani,et al. Sample classification from protein mass spectrometry, by 'peak probability contrasts' , 2004, Bioinform..
[15] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[16] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[17] Yehia Mechref,et al. Analysis of MALDI-TOF mass spectrometry data for detection of glycan biomarkers. , 2008, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.
[18] M. Hilario,et al. Processing and classification of protein mass spectra. , 2006, Mass spectrometry reviews.
[19] Pedro Larrañaga,et al. A review of feature selection techniques in bioinformatics , 2007, Bioinform..
[20] M. Karas,et al. Matrix-assisted ultraviolet laser desorption of non-volatile compounds , 1987 .
[21] David E. Goldberg,et al. Hierarchical Bayesian Optimization Algorithm , 2006, Scalable Optimization via Probabilistic Modeling.
[22] Hiroshi Motoda,et al. Computational Methods of Feature Selection , 2007 .
[23] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[24] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[25] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[26] Edmond J. Breen,et al. Automatic Poisson peak harvesting for high throughput protein identification , 2000, Electrophoresis.
[27] T. Yip,et al. New desorption strategies for the mass spectrometric analysis of macromolecules , 1993 .
[28] Jeffrey S. Morris,et al. Pre-Processing Mass Spectrometry Data , 2007 .
[29] Pedro Larrañaga,et al. A Review on Estimation of Distribution Algorithms , 2002, Estimation of Distribution Algorithms.
[30] Maria Joseph,et al. Guilt-by-association feature selection: Identifying biomarkers from proteomic profiles , 2008, J. Biomed. Informatics.
[31] Martin Pelikan,et al. Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms , 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[32] B. Efron. Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation , 1983 .
[33] Anna Gambin,et al. On consensus biomarker selection , 2007, BMC Bioinformatics.
[34] David G. Stork,et al. Pattern Classification , 1973 .
[35] Z. Shkedy,et al. Statistical Applications in Genetics and Molecular Biology , 2011 .
[36] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[37] Pedro Larrañaga,et al. Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures , 2009, IEEE Transactions on Information Technology in Biomedicine.
[38] Habtom W. Ressom,et al. Analysis of mass spectral serum profiles for biomarker selection , 2005, Bioinform..
[39] Ludmila I. Kuncheva,et al. A stability index for feature selection , 2007, Artificial Intelligence and Applications.
[40] Anastasios Bezerianos,et al. An intensity-region driven multi-classifier scheme for improving the classification accuracy of proteomic MS-spectra , 2010, Comput. Methods Programs Biomed..
[41] Elena Marchiori,et al. Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data , 2006, EvoWorkshops.
[42] Constantin F. Aliferis,et al. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis , 2004, Bioinform..
[43] Yvan Saeys,et al. Feature selection for splice site prediction: A new method using EDA-based feature ranking , 2004, BMC Bioinformatics.
[44] Jeffrey S. Morris,et al. Improved peak detection and quantification of mass spectrometry data acquired from surface‐enhanced laser desorption and ionization by denoising spectra with the undecimated discrete wavelet transform , 2005, Proteomics.
[45] Terence P. Speed,et al. NORMALIZATION , BASELINE CORRECTION AND ALIGNMENT OF HIGH-THROUGHPUT MASS SPECTROMETRY DATA , 2004 .
[46] Naren Ramakrishnan,et al. Clustering mass spectrometry data using order statistics , 2003, Proteomics.
[47] Joshua D. Knowles,et al. Multiobjective Optimization in Bioinformatics and Computational Biology , 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[48] Lin Dan,et al. A cross-validation study to select a classification procedure for clinical diagnosis based on proteomic mass spectrometry. , 2008 .
[49] Melanie Hilario,et al. Stability of feature selection algorithms , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[50] Knut Reinert,et al. OpenMS – An open-source software framework for mass spectrometry , 2008, BMC Bioinformatics.
[51] E. Petricoin,et al. Toxicoproteomics: Serum Proteomic Pattern Diagnostics for Early Detection of Drug Induced Cardiac Toxicities and Cardioprotection , 2004, Toxicologic pathology.
[52] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[53] Pedro Larrañaga,et al. Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms , 2006, Towards a New Evolutionary Computation.
[54] Michael L. Bittner,et al. Ratio statistics of gene expression levels and applications to microarray data analysis , 2002, Bioinform..
[55] Concha Bielza,et al. Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms , 2010 .
[56] Mia K. Markey,et al. A machine learning perspective on the development of clinical decision support systems utilizing mass spectra of blood samples , 2006, J. Biomed. Informatics.
[57] Habtom W. Ressom,et al. Ant Colony Optimization for Biomarker Identification from MALDI-TOF Mass Spectra , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.