Browsing Department of Informatics by Title
Now showing items 610-629 of 1199
-
Machine learning and electronic health records
(Master thesis, 2020-10-02)In this work, we investigate the benefits and complications of using machine learning on EHR data. We survey some recent literature and conduct experiments on real data collected from hospital EHR systems. -
Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data
(Chapter, 2021)Biomarkers are of great importance in many fields, such as cancer research, toxicology, diagnosis and treatment of diseases, and to better understand biological response mechanisms to internal or external intervention. ... -
Machine learning approaches for high-dimensional genome-wide association studies
(Doctoral thesis, 2022-08-24)Formålet med Genome-wide association studies (GWAS) er å finne statistiske sammenhenger mellom genetiske varianter og egenskaper av interesser. De genetiske variantene som forklarer mye av variasjonene i genomfattende ... -
Machine Learning Approaches in Imaging Genetics
(Master thesis, 2021-06-01)Established approaches in imaging genetics and genome wide association studies (GWAS) such as univariate, multivariate and voxel-wise approaches, are prone to certain disadvantages such as being computationally expensive, ... -
Machine Learning based Detection and Identification of Trees using High Resolution Satellite Images
(Master thesis, 2021-06-01) -
Machine Learning methods for mood disorder decision support
(Master thesis, 2017-07-11) -
Machine learning methods for preference aggregation
(Master thesis, 2019-11-14)Preference aggregation is the process of combining multiple preferences orders into one global ranking. The top-ranked alternative is called the winner. Many aggregation methods have been considered in the literature. Some ... -
Machine Teaching for Explainable AI: Proof of Concept
(Master thesis, 2022-06-21)In today’s society, AI and machine learning are becoming more and more relevant. Following this, the field of Explainable AI is becoming of more relevance. The research project ”Machine Teaching for Explainable AI” aims ... -
Macrophage phenotype transitions in a stochastic gene-regulatory network model
(Journal article; Peer reviewed, 2023)Polarization is the process by which a macrophage cell commits to a phenotype based on external signal stimulation. To know how this process is affected by random fluctuations and events within a cell is of utmost importance ... -
Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation
(Journal article; Peer reviewed, 2020)Understanding the pathophysiological processes of cartilage degradation requires adequate model systems to develop therapeutic strategies towards osteoarthritis (OA). Although different in vitro or in vivo models have been ... -
Making a Drawing-Assistant System using Deep Learning
(Master thesis, 2022-06-01) -
Making the BKW Algorithm Practical for LWE
(Journal article; Peer reviewed, 2020)The Learning with Errors (LWE) problem is one of the main mathematical foundations of post-quantum cryptography. One of the main groups of algorithms for solving LWE is the Blum-Kalai-Wasserman (BKW) algorithm. This paper ... -
The male germ cell gene regulator CTCFL is functionally different from CTCF and binds CTCF-like consensus sites in a nucleosome composition-dependent manner
(Peer reviewed; Journal article, 2012-06-18)Background: CTCF is a highly conserved and essential zinc finger protein expressed in virtually all cell types. In conjunction with cohesin, it organizes chromatin into loops, thereby regulating gene expression and epigenetic ... -
Managing spatial selections with contextual snapshots
(Peer reviewed; Journal article, 2014-12)Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analysed and compared in different views. However, the semantics of such selections often depend on specific ... -
Mandatory or Voluntary Course Work in Introductory Programming Courses?
(Journal article; Peer reviewed, 2023)Which approach, mandatory or voluntary weekly labs, is more conducive to student learning? We conducted a quasi-experiment in a bachelor level programming course (CS2) at the Department of Informatics at the University of ... -
Market equilibria and money
(Journal article; Peer reviewed, 2021)By the first welfare theorem, competitive market equilibria belong to the core and hence are Pareto optimal. Letting money be a commodity, this paper turns these two inclusions around. More precisely, by generalizing the ... -
MassAnalyzer, a program to help find labeled peptides and compare them to their unlabeled counterparts in a SILAC experiment
(Master thesis, 2008-11-27)Mass spectrometry(MS) have become an increasingly popular analysis method for high throughput experiments on proteins in biology. SILAC(stable isotope labeling by amino acids in cell culture) is a method within MS that ... -
MassSorter: a tool for administrating and analyzing data from mass spectrometry experiments on proteins with known amino acid sequences
(Peer reviewed; Journal article, 2006-01-26)Background: Proteomics is the study of the proteome, and is critical to the understanding of cellular processes. Two central and related tasks of proteomics are protein identification and protein characterization. Many ... -
Mathematical Modeling and Simulation Provides Evidence for New Strategies of Ovarian Stimulation
(Journal article; Peer reviewed, 2021)New approaches to ovarian stimulation protocols, such as luteal start, random start or double stimulation, allow for flexibility in ovarian stimulation at different phases of the menstrual cycle. It has been proposed that ... -
Mathematical modelling of follicular growth and ovarian stimulation
(Journal article; Peer reviewed, 2022)The aim of ovarian stimulation in fertility treatment is to increase the number of large follicles and hence the number of eggs that can be retrieved for in vitro fertilisation (IVF). However, large inter- and intra-individual ...