dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Ligt, J. de | |
dc.contributor.author | Lambo, S. | |
dc.date.accessioned | 2018-07-19T17:06:03Z | |
dc.date.available | 2018-07-19T17:06:03Z | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/29714 | |
dc.description.abstract | Drug 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.sponsorship | Utrecht University | |
dc.format.extent | 1032892 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Modeling resistance to vemurafenib using integrative approaches: pitfalls and opportunities | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Drug resistance, melanoma, tumor, cancer, MAPK pathway, systems biology, integration, targeted therapy, modeling | |
dc.subject.courseuu | Cancer, Stem Cells and Development Biology | |