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.
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Acknowledgement
Nadège Richard was supported by a postdoctoral grant (SFRH/BDP/65578/2009) from the Portuguese Foundation for Science and Technology (FCT).
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Silva, T.S., Richard, N. (2016). Visualization and Differential Analysis of Protein Expression Data Using R. In: Jung, K. (eds) Statistical Analysis in Proteomics. Methods in Molecular Biology, vol 1362. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3106-4_6
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DOI: https://doi.org/10.1007/978-1-4939-3106-4_6
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-3105-7
Online ISBN: 978-1-4939-3106-4
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