Computational Approaches to Deciphering the Molecular and Cellular Heterogeneity of Alzheimer's Disease
G.A. Bouland (TU Delft - Pattern Recognition and Bioinformatics)
Marcel J T Reinders – Promotor (TU Delft - Pattern Recognition and Bioinformatics)
Ahmed Mahfouz – Copromotor (Leiden University Medical Center)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
In summary, the contributions within this thesis advance Alzheimer's research by introducing new computational tools and methods to better understand the genetics of the disease and cellular mechanisms. Additionally, showing that single-cell gene expression can be effectively analyzed in a binary format (expressed or not) simplifies genomic data analysis, making it more accessible, efficient, and applicable to a range of diseases and conditions.