Statistical Analysis in Proteomics

书目详细资料
企业作者: SpringerLink (Online service)
其他作者: Jung, Klaus (Editor)
总结:X, 313 p. 85 illus., 58 illus. in color.
text
语言:英语
出版: New York, NY : Springer New York : Imprint: Humana, 2016.
版:1st ed. 2016.
丛编:Methods in Molecular Biology, 1362
主题:
在线阅读:https://doi.org/10.1007/978-1-4939-3106-4
格式: 电子 图书
书本目录:
  • 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 DataAnalysis
  • Statistical Aspects in Proteomic Biomarker Discovery.