Show simple item record

dc.contributor.authorEuceda, Leslie R.
dc.contributor.authorHaukaas, Tonje Husby
dc.contributor.authorBathen, Tone Frost
dc.contributor.authorGiskeødegård, Guro F.
dc.date.accessioned2018-01-24T13:12:42Z
dc.date.available2018-01-24T13:12:42Z
dc.date.created2018-01-23T11:48:45Z
dc.date.issued2018
dc.identifier.isbn978-1-4939-7493-1
dc.identifier.urihttp://hdl.handle.net/11250/2479438
dc.description.abstractMetabolic profiles reflect biological conditions as a result of biochemical changes within a living system. It is therefore possible to associate metabolic signatures with clinical endpoints of diseases, such as breast cancer. Nuclear magnetic resonance (NMR) spectroscopy is one of the most common techniques used for metabolic profiling, and produces high dimensional datasets from which meaningful biological information can be extracted. Here, we present an overview of data analysis techniques used to achieve this, describing key steps in the procedure. Moreover, examples of clinical endpoints of interest are provided. Although these are specific for breast cancer, the procedures for the analysis of NMR spectra as described here are applicable to any type of cancer and to other diseases.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringernb_NO
dc.relation.ispartofCancer Systems Biology: Methods and Protocols
dc.titlePrediction of Clinical Endpoints in Breast Cancer Using NMR Metabolic Profilesnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber167-189nb_NO
dc.identifier.cristin1549823
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2017 by Springernb_NO
cristin.unitcode194,65,25,0
cristin.unitnameInstitutt for sirkulasjon og bildediagnostikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record