chapter  14
16 Pages

Bioinformatics Tools for Differential Analysis of Proteomic Expression Profiling Data from Clinical Samples

Data Analysis .............................................................................................279 14.3 Considerations of Bioinformatics Tools for Differential Analysis

of Proteomic Expression Profile Data .......................................................280 14.4 The Unified Maximum Separability Analysis Algorithm .........................281 14.5 UMSA-Based Procedures for Expression Profile Data Analysis .............283 14.6 Application of UMSA-Based Tools for Biomarker Discovery Using

Clinical Proteomics Data from Mass Spectrometry..................................286 14.7 The Importance of Study Design ..............................................................288 14.8 Final Notes .................................................................................................289 References..............................................................................................................290