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008			151126s2016 xxu| fo |||| 0|eng d
020			_a9781493932559
024	7		_a10.1007/978-1-4939-3255-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP519.9 .T84 _b2016 EB
245	0	0	_a2-D PAGE Map Analysis _b: Methods and Protocols _cedited by Emilio Marengo, Elisa Robotti
250			_a1st edition 2016
264		1	_aNew York, NY _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XVI, 331 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v1384
505	0		_aSources of Experimental Variation in 2D-Maps: The Importance of Experimental Design in Gel-Based Proteomics.- Decoding 2D-Maps by Autocovariance Functions.- Two-Dimensional Gel Electrophoresis Image Analysis via Dedicated Software Packages -- Comparative Evaluation of Software Features and Performances.- Image Pretreatment Tools I: Algorithms for Maps Denoising and Background Subtraction Methods.- Image Pretreatment Tools II: Normalization Techniques for 2DE and 2D-DIGE.- Spot Matching of 2-DE Images Using Distance, Intensity, and Pattern Information -- Algorithms for Warping of 2D-PAGE Maps.- 2-DE Gel Analysis: The Spot Detection.- GENOCOP Algorithm and Hierarchical Grid Transformation for Image Warping of Two Dimensional Gel Electrophoretic Maps.- Detection and Quantification of Protein Spots by Pinnacle.- A Novel Gaussian Extrapolation Approach for 2D Gel Electrophoresis Saturated Protein Spots.- Multiple Testing and Pattern Recognition in 2DE Proteomics.- Chemometric Multivariate Tools for Candidate Biomarkers Identification: LDA, PLS-DA, SIMCA, Ranking-PCA.- The Use of Legendre and Zernike Moment Functions for the Comparison of 2D-PAGE Maps.- Nonlinear Dimensionality Reduction by Minimum Curvilinearity for Unsupervised Discovery of Patterns in Multidimensional Proteomic Data.- Differential Analysis of 2D-Maps by Pixel-Based Approaches.
520			_aExploring the 2-D gel mapping field, the chapters in this book are separated into four different categories: Part I talks about 2-D maps reproducibility and maps modeling; Part II describes the image analysis tools that provide spot volume datasets; Part III is about the statistical methods applied to spot volume datasets to identify candidate biomarkers; and Part IV discusses differential analysis from direct image analysis tools. 2-D PAGE Map Analysis: Methods and Protocols provides a unique approach to 2-D gel mapping, in that it helps users avoid drawbacks due to ignorance of the basic theoretical mechanisms underlying the technique, including data handling and proper tools for spot analysis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, 2-D PAGE Map Analysis: Methods and Protocols, is a useful resource for any scientist or researcher, with a mathematical background, who is interested in 2-D gel mapping.
988			_aSpringer_Protocols_2016
650		7	_2embne _9141793 _aElectroforesis
776	0	8	_iPrinted edition: _z9781493932542
776	0	8	_iPrinted edition: _z9781493932566
776	0	8	_iPrinted edition: _z9781493949496
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-3255-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _ean _zSI