······························ : ___ ___ ___ __ __ : : / _]| \ | \ | | |: : / [_ | \ | \ | | |: :| _]| D || D || ~ |: :| [_ | || ||___, |: :| || || || |: :|_____||_____||_____||____/ : ······························Resume Projecten Contact
Zodra meer projecten af zijn en er netjes uitzien, komen ze hier terecht. Gezien al mijn projecten in het Engels gedocumenteerd zijn, is de beschrijving van elk project ook in het Engels.
INDEX * Virus Screening ........................................................ [001] * Mastermind ............................................................. [002] * Network Inference....................................................... [003]
Abstract: Ever since the origin of human life, we have been infected by a wide range of viruses. These pathogens have invaded our cells, leaving behind traces of their presence in our genome, known as endogenous viral elements (EVEs). Among the affected cells are neurons. The infectious hypothesis for Alzheimer's disease (AD) proposes that viral infections may serve as an environmental factor contributing to AD. In our study, we explored this hypothesis for the first time from an endogenous perspective by identifying EVEs in the genomes of both AD patients and cognitively healthy centenarians (CHCs). Using a custom-built data processing pipeline, our findings reveal that the genomes of AD patients on average harbor more EVEs than those of CHCs (p=3.24e-4, incidence rate ratio (IRR) = 1.27). Furthermore, we identified specific chromosomal regions with a higher incidence of viral integration in the AD cohort across different virus families. Our data suggest that viral infections over time have increased the susceptibility to AD, underscoring the importance of preventive measures against infections.
Thesis including details and code is online here: https://repository.tudelft.nl/record/uuid:9d60b351-4dbf-46f7-ac0b-b06f54453c82
A two-player version of the mastermind game implemented using a object-oriented design with websockets, Node.js, Express, Javascript, HTML, and CSS.
Check out the repo here: https://github.com/MaEduard/mastermind/tree/main
In my free time I did a project under the supervision of Prof. Dr. Ir. Reinders and Dr. Villegas Morcillo. I reproduced a network inference framework developed by Zamanighomi et al. that has been applied on scRNA-seq data to gain insight into the cell-specific gene-gene regulations. The work can be found here: https://github.com/MaEduard/network_inference/tree/main
Find the report here: pdf