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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorLigt, J. de
dc.contributor.authorLambo, S.
dc.date.accessioned2018-07-19T17:06:03Z
dc.date.available2018-07-19T17:06:03Z
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/29714
dc.description.abstractDrug resistance against targeted inhibitors is a complex problem that prevents efficient treatment of many tumors. Drug resistance can occur on multiple levels, requiring the acquisition and integration of system-wide data. We review the pitfalls of data integration across different layers of biology together with possible approaches to integrate the data. Additionally, we propose a model that enables the identification of mechanisms that underlie drug resistance through the integration of different layers of biological data.
dc.description.sponsorshipUtrecht University
dc.format.extent1032892
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleModeling resistance to vemurafenib using integrative approaches: pitfalls and opportunities
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsDrug resistance, melanoma, tumor, cancer, MAPK pathway, systems biology, integration, targeted therapy, modeling
dc.subject.courseuuCancer, Stem Cells and Development Biology


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