| Literature DB >> 26519172 |
Tomé S Silva1, Nadège Richard2.
Abstract
Data analysis is essential to derive meaningful conclusions from proteomic data. This chapter describes ways of performing common data visualization and differential analysis tasks on gel-based proteomic datasets using a freely available statistical software package (R). A workflow followed is illustrated using a synthetic dataset as example.Keywords: Data visualization; Differential analysis; Feature selection; Heatmap; Hypothesis testing; Independent component analysis; Multidimensional scaling; Proteomics; R; Two-dimensional gel electrophoresis
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Year: 2016 PMID: 26519172 DOI: 10.1007/978-1-4939-3106-4_6
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745