Titlebook: Bioinformatics of Human Proteomics; Xiangdong Wang Book 2013 Springer Science+Business Media Dordrecht 2013 clinical bioinformatics.mass s

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Disease Biomarkers: Modelling MR Spectroscopy and Clinical Applications,te lesion characterization and tumour’s follow-up. It allows detecting relevant changes that cannot be appreciated in the conventional MR images. Nowadays, MRS has been widely applied in many different brain pathologies with excellent results as a disease biomarker. Since the different diseases and

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Clinical Translation of Protein Biomarkers Integrated with Bioinformatics,uantitative proteomics methods such as stable isotope labeling by amino acids in cell culture (SILAC), isobaric peptide tags for relative and absolute quantification (iTRAQ), and label-free can be chosen. A common endpoint for a biomarker discovery experiment is a list of putative marker proteins. A

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Antibody Microarrays and Multiplexing,eration, differential analysis, and classification are covered. The focus is on the implementation of each technique to the technology and its suitability in relation to sample types and experiment design.

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Proteomics in Anaesthesia and Intensive Care Medicine,rocesses. Analysis of proteome allows individuating proteins that act as biomarkers, which have many potential roles in clinical practice: diagnosis, response to treatment, risk stratification and prognosis. This chapter summarises the most important proteomics application in anaesthesiology and cri

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