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Visualization and Differential Analysis of Protein Expression Data Using R.
| dc.contributor.author | Silva, Tomé | |
| dc.contributor.author | Richard, Nadège | |
| dc.date.accessioned | 2017-04-07T15:57:39Z | |
| dc.date.available | 2017-04-07T15:57:39Z | |
| dc.date.issued | 2016 | |
| dc.description.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. | |
| dc.identifier.doi | 10.1007/978-1-4939-3106-4_6 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/9779 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.relation.isbasedon | MEDLINE:26519172 | |
| dc.title | Visualization and Differential Analysis of Protein Expression Data Using R. | |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 118 | |
| oaire.citation.startPage | 105 | |
| oaire.citation.title | Methods in molecular biology | |
| oaire.citation.volume | 1362 | |
| person.familyName | Richard | |
| person.givenName | Nadège | |
| person.identifier.orcid | 0000-0002-8983-0726 | |
| person.identifier.rid | M-3385-2013 | |
| person.identifier.scopus-author-id | 15023061500 | |
| rcaap.rights | openAccess | |
| rcaap.type | article | |
| relation.isAuthorOfPublication | f372969b-5422-4111-96cd-447a96f7e4f4 | |
| relation.isAuthorOfPublication.latestForDiscovery | f372969b-5422-4111-96cd-447a96f7e4f4 |
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