| Literature DB >> 29344888 |
Stefka Tyanova1, Juergen Cox2.
Abstract
Mass spectrometry-based proteomics is a continuously growing field marked by technological and methodological improvements. Cancer proteomics is aimed at pursuing goals such as accurate diagnosis, patient stratification, and biomarker discovery, relying on the richness of information of quantitative proteome profiles. Translating these high-dimensional data into biological findings of clinical importance necessitates the use of robust and powerful computational tools and methods. In this chapter, we provide a detailed description of standard analysis steps for a clinical proteomics dataset performed in Perseus, a software for functional analysis of large-scale quantitative omics data.Entities:
Keywords: Cancer proteomics; Omics data analysis; Perseus; Software; Translational bioinformatics
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Year: 2018 PMID： 29344888 DOI： 10.1007/978-1-4939-7493-1_7
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745