Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28mentor%29%22
(1 - 20 of 29)

Pages

List view
Grid view
document
Schouten, Janno (author)
Patients who are admitted to the Intensive Care Unit (ICU) are extremely ill and at high risk of organ failure and death. Being admitted to the ICU is known to cause long lasting physical, cognitive, and physiological symptoms, which is called Post-Intensive Care syndrome (PICS). To provide better management of PICS, early recognition and...
master thesis 2023
document
Vlekke, Jimmy (author)
Global warming causes coral bleaching which threatens the health and existence of coral reefs and therefore also the future of a lot of species, including human beings. Efforts to automate coral reef monitoring using annotated coral images to detect coral bleaching are hindered by the lack of a complete dataset that specifies the health and...
master thesis 2022
document
Biharie, Kirti (author)
Knowing the relation between cell types is crucial for translating experimental results from mice to humans. Establishing cell type matches, however, is hindered by the biological differences between the species. A substantial amount of evolutionary information between genes that could be used to align the species, is discarded by most of the...
master thesis 2022
document
Khan, Abdul Rehman (author)
Transformers have dominated the field of natural language processing due to their competency in learning complex relationships within a sequence. Reusing a pre-trained transformer for a downstream task is known as Trans-fer learning. Transfer learning restricts the transformer to a fixed vocabulary; modification in transformer implementation...
master thesis 2022
document
Lucas, Francesca (author)
Motivation: Alzheimer’s disease (AD) is a highly prevalent disease whose genetic risk factors remain largely unknown. One potential genetic risk factor is tandem repeat expansions, which have been associated with over 40 diseases, most of which affect the nervous system. Detecting VNTRs from short-read data is a challenging task, leaving many...
master thesis 2021
document
Smit, Jim (author)
Background: The covid-19 pandemic has overwhelmed hospitals worldwide and clinical prediction models may assist in timely identification of covid-19 patients at risk for clinical deterioration, i.e. `early warning'. In this article, we report on the development and validation of a new early warning model that predicts unplanned ICU admission or...
master thesis 2021
document
Darbari, Shubhankar (author)
The expansion of the Internet and wireless access has led to a widespread increase of Internet of Things applications. These smart devices are becoming a daily aspect of our lives. All the convenient and automated services provided by smart devices come from a centralized service provider. This service provider has access to all the personal...
bachelor thesis 2021
document
van Ruyven, Noor (author)
In 1997 it was discovered that fragments of DNA circulate freely in the blood plasma and, in the case of pregnancy, this DNA consists of DNA belonging to both the mother and the fetus. This circulating free DNA has made it possible to test for chromosomal aberration in the fetus through non-invasive methods, thereby avoiding the 1 in 100 chance...
master thesis 2021
document
Pourquié, Valérie (author)
Human brain research is advancing, facilitated by improved high-throughput techniques and systematically preservation of brain tissue in brain banks. Due to the complex organization and regulation of the brain, most studies only focus on a single aspect of healthy and diseased samples. This research integrates analyses of the transcriptome and...
master thesis 2019
document
Klaassen, Matthijs (author)
In this paper we investigate 4 different methods to predict protein sub cellular location using protein interaction networks. We present a very simple algorithm as a benchmark to which the other, more complex, methods can be measured. This algorithm is based on the simple observation that to interact proteins must be physically close to one...
bachelor thesis 2019
document
Hoogenboom, Iwan (author)
Determining protein subcellular location is important for understanding cellular<br/>functions and biological processes of underlying diseases. High throughput fluorescence images can be used in combination with convolutional neural networks to predict this location. In this work we propose a hierarchical model which uses prior knowledge of...
bachelor thesis 2019
document
Wen, Xiaoming (author)
Optical flow is a representation of projected real-world motion of the object between two consecutive images. The optical flow measures the pixel displacement on the image coordinate plane. However, it does not reveal the motion in depth explicitly, which could be useful as input in some tasks such as vehicle tracking. To extend the original...
master thesis 2018
document
van Dorth, Matthijs (author)
master thesis 2017
document
Makrodimitris, S. (author)
master thesis 2016
document
Van den Bogaerdt, P. (author)
Mutations in ones DNA can influence the risk for developing Alzheimer's disease (Alzheimer). DNA consists of long strings of nucleotides, which together define the genome. However, next to these nucleotides, also the way in which DNA wraps in a cell affects the function of a cell. The information describing the DNA wrapping state is called the...
bachelor thesis 2015
document
Witteveen, M.J. (author)
Motivation: Identification and elucidation of eQTL has long been an active area of research. Finding cis-eQTL has been a manageable problem because of the limited number of candidates. Finding transeQTL has on the other hand been much more challenging because of the issue of multiple hypothesis testing. It has been suggested that additional...
master thesis 2014
document
Yao, Y. (author)
A single-molecule protein sequencer, which labels only 2 out of 20 amino acids and uses single-molecule TIRF microscopy to measure the order of these fingerprints, opens the door to identify proteins with high fidelity using only a small quantity of sample. From the fingerprint, a key challenge is to detect which protein was measured. We present...
master thesis 2014
document
Wu, Y. (author), De Ridder, J. (author), Reinders, M.J.T. (author)
Breast cancer is one of the most prevalent cancers affecting females in the world. In recent years, many cancer researchers have been trying to determine molecular prognosis tools that predict cancer patient treatment response and/or chance of survival. In particular, the determination of gene expression signatures obtained by feature selection...
master thesis 2013
document
Van Beek, D.M. (author)
This report is made as part of the Master's Thesis project of the master Computer Science, track Bioinformatics at the Delft University of technology. The main focus of this document lies on the paper that is written as the result of my research on the detection of copy number variations using next generation sequencing data. In the future it is...
master thesis 2012
document
Straver, R. (author)
Motivation: Numerous genetic disorders can be detected in prenatal diagnosis using Chorionic Villus Sampling. As this brings a 1:100 chance for miscarriage, this method is only applied when the fetus is suspected to have an increased chance at having an aberration. It is known that a small percentage of DNA in maternal plasma is of fetal origin...
master thesis 2012
Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28mentor%29%22
(1 - 20 of 29)

Pages

List view
Grid view