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Influence of Machine Learning Advancements on the Detection of DNA Regulatory Elements

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorKenna, Kevin
dc.contributor.authorNiederländer, Wietse
dc.date.accessioned2024-04-10T23:01:59Z
dc.date.available2024-04-10T23:01:59Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/46277
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThis review explores the intersection of Natural Language Processing (NLP), machine learning, and genomics, with a focus on the understanding and interpretation of DNA regulatory elements.
dc.titleInfluence of Machine Learning Advancements on the Detection of DNA Regulatory Elements
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsDNA Regulatory Elements; Natural Language Processing; NLP; machine learning;
dc.subject.courseuuBioinformatics and Biocomplexity
dc.thesis.id29949


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