Browsing Det matematisk-naturvitenskapelige fakultet by Title
Now showing items 8607-8626 of 16561
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(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2004)Background Microarray-based comparative genomic hybridisation (array CGH) is a technique by which variation in relative copy numbers between two genomes can be analysed by competitive hybridisation to DNA ...
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(Research report / Forskningsrapport, 1971)
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(Research report / Forskningsrapport, 1991)
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(Master thesis / Masteroppgave, 2009)Machs prinsipp angår et bredt spekter av fenomener knyttet til hvordan ting vekselvirker på lange, til og med kosmologiske, avstander. I denne masteroppgaven gir jeg en historisk oversikt over forskning som har foregått ...
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(Master thesis / Hovedoppgave, 2007)This paper consists of three complementary parts. First, there are the fundamental problems and challenges about the foundations [1,2,9] of Machine Composition (MC), especially in relation to human composition. Second, ...
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(Master thesis / Masteroppgave, 2014)
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(Doctoral thesis / Doktoravhandling, 2016)
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(Master thesis / Masteroppgave, 2019)
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A Machine Learning Approach To Improve Consistency In User-Driven Medical Image AnalysisRestricted Access (Master thesis / Masteroppgave, 2019)
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(Master thesis / Masteroppgave, 2019)
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(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)Objective: Evaluation of intestinal viability is essential in surgical decision-making in patients with acute intestinal ischemia. There has been no substantial change in the mortality rate (30-93%) of patients with acute ...
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(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)In this paper we investigate how implementing machine learning could improve the efficiency of the search for Trans-Neptunian Objects (TNOs) within Dark Energy Survey (DES) data when used alongside orbit fitting. The ...
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(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)Electrical impedance spectroscopy (EIS) measurements on cells is a proven method to assess stem cell proliferation and differentiation. Cell regenerative medicine (CRM) is an emerging field where the need to develop and ...
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(Master thesis / Masteroppgave, 2017)
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A machine learning framework to predict phosphorylated class I epitopes: Implications for neoantigen discovery in cancerRestricted Access (Master thesis / Masteroppgave, 2018)Post translational modifications (PTMs) are chemical modifications to proteins that regulate many protein functions. Recently, PTMs found on human leukocyte antigen (HLA) bound epitopes specific to cancer cells have become ...
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(Master thesis / Masteroppgave, 2019)
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(Master thesis / Masteroppgave, 2020)
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(Doctoral thesis / Doktoravhandling, 2017)Accelerator-based research facilities play a key role in modern research, where they increasingly push the technical limits. At the same time, they aim at competing with industrial and nuclear research facilities in ...
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(Doctoral thesis / Doktoravhandling, 2018)The astonishing diversity of life we see around us is shaped by the interactions between organisms and the environment. How this happen over long time has been a lasting interest of evolutionary biology, and is even more ...
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(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)The emplacement of large intrusive complexes into sedimentary basins can have profound effects on host sedimentary rocks including deformation, thermal aureole metamorphic reactions, alteration of fluid-flow pathways, and ...