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151030s2016 xxu| s |||| 0|eng d |
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|a 9781493931064
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|a 10.1007/978-1-4939-3106-4
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Statistical Analysis in Proteomics /
|c edited by Klaus Jung.
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250 |
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|a 1st ed. 2016.
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260 |
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|a New York, NY :
|b Springer New York :
|b Imprint: Humana,
|c 2016.
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|a X, 313 p. 85 illus., 58 illus. in color. :
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Methods in Molecular Biology,
|v 1362
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|a Introduction to Proteomics Technologies -- Topics in Study Design and Analysis for Multi-Stage Clinical Proteomics Studies -- Preprocessing and Analysis of LC-MS-Based Proteomic Data -- Normalization of Reverse Phase Protein Microarray Data: Choosing the Best Normalization Analyte -- Outlier Detection for Mass Spectrometric Data -- Visualization and Differential Analysis of Protein Expression Data Using R -- False Discovery Rate Estimation in Proteomics -- A Nonparametric Bayesian Model for Nested Clustering -- Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysis -- Classification of Samples with Order Restricted Discriminant Rules -- Application of Discriminant Analysis and Cross Validation on Proteomics Data -- Protein Sequence Analysis by Proximities -- Statistical Method for Integrative Platform Analysis: Application to Integration of Proteomic and Microarray Data -- Data Fusion in Metabolomics and Proteomics for Biomarkers Discovery -- Reconstruction of Protein Networks Using Reverse Phase Protein Array Data -- Detection of Unknown Amino Acid Substitutions Using Error-Tolerant Database Search -- Data Analysis Strategies for Protein Modification Identification -- Dissecting the iTRAQ Data Analysis -- Statistical Aspects in Proteomic Biomarker Discovery.
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|a Proteins .
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650 |
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|a Protein Science.
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700 |
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|a Jung, Klaus.
|e editor.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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