Browsing Faculty of Chemistry, Biotechnology and Food Science (KBM) by Author "Vinje, Hilde"
Now showing items 1-6 of 6
-
Classification and quantification of the contents of fishmeal using hash-based classification algorithms on metagenomic sequence data
Ekeland, Halvor (Master thesis, 2022)With the abundance of sequence data and the development of effective computer algorithms, new practical applications using sequence data are possible, among the authentication of the contents of food and feed. This study ... -
Kva innsikt kan biometriske målingar gje om studentar si oppleving av statistikkundervisning?
Aspheim, Janne Cathrin Hetle (Master thesis, 2020)I dette prosjektet har ein freista å avdekkje samanhengar mellom personlegdomstypar og opplevinga av to undervisningsfilmar om same tema, men med forskjelleg innhald og oppbygning. Alle deltakarane fekk sjå begge filmane ... -
Objective methods of classification for beef- and pork carcases as a basis for evaluation of carcase yield
Heggli, Andrew Russell Thee (PhD Thesis;2024:13, Doctoral thesis, 2024)Yield within the meat industry refers to the ratio and weight of tissues from the carcase. Carcase classification gives each carcase grades that determine the price paid for the carcase. Two aspects are especially important ... -
Prokaryote classification : method development and novel insight in 16S ribosomal RNA-based classification
Vinje, Hilde (PhD Thesis;2016:95, Doctoral thesis, 2016)The main objective of this thesis is the improvement of prokaryotic classification based on the 16S ribosomal RNA. As a result of the shift in sequencing technology, generating enormous amounts of sequencing data and the ... -
Student's learning preferences and perception of mathematics : how different cognitive types view contrasting approaches to statistics education
Gjefle, Mina Therese (Master thesis, 2022)The Big-Four is a popular typology used to assess behavior through categorical means, and it’s four dichotomous dimensions have been found to associate with the cognitive patterns of individuals. Analyses have found that ... -
Uncovering key transcription factors in breast cancer subtypes using matrix factorization
Klokkerud, Solveig Margrete Knoph (Master thesis, 2020)Breast cancer is the most common cancer type in women, and response to treatment varies immensely between subtypes. As of today, patients with Basal- like breast cancer lacks targeted treatment, which leads to poor prognosis ...