Visualization and Differential Analysis of Protein Expression Data Using R.
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 illus...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2017
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| Texto completo: | http://hdl.handle.net/10400.1/9779 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/9779 |
| Resumo: | 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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