Leiden University

LIACS Thesis Repository


These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.


Program
Bachelor InformaticaBachelor Informatica & EconomieBachelor BioinformaticaMaster Computer ScienceMaster ICT in BusinessMaster Media TechnologyPhD Computer Science
Period
All years2021-20222020-20212019-20202018-20192017-2018

19 entries found.

Bachelor Bioinformatica


2021-2022
Student Thesis Content
Versluis, R.Comparing and improving different analysis workflows for High compound screening data
Yarim, M.Bioinformatics analysis of the core hallmarks of cancer genes

2020-2021
Student Thesis Content
Belle, N. vanThe Bioinformatic Search for ENOD40 Genes in the Rosales Order and Possible Insertions of Transposable Elements
Biesot, N.Actionable pharmacogenomic variation present in the general population
Faas, M.Training Logical Operations through Gameplay
Freeke, K.Exploring hallmark connections through pathway enrichment in a cancer gene PPI-network
Homma, R.Exploring the feasibility of pharmacogenomic data analysis
Kossen, D.Network analysis of polyQ proteins in the human brain
Vijfvinkel, D.Discovery of ENOD40 RNA in Poaceae

2019-2020
Student Thesis Content
Cheung, M.Mining Structural Patterns in a Non-coding RNA Related to Influenza Virus Infection and Cancer Development
Engwegen, L.R.Investigating the Hallmarks of Cancer Using Protein-Protein Interaction Networks
Heijnen, L.S.E.M.Revisiting the Evolution and Function of Polyglutamine Repeats
Janssens, L.M.I.A Network Analysis Approach to Studying PolyQ Protein Interactions
Nuijten, P.The Relationship Between Prognostic Genes in Human and Mouse Cancer

2018-2019
Student Thesis Content
Dekker, L.Optimization of High-Throughput Zebra sh Imaging on a Distributed Computer
W.F.H. de BoerEvaluation and Improvement of Methods and Models for Segmentation of Zebrafish Larvae
Wesselman, S.The Intestinal Flora of the Zebrafish

2017-2018
Student Thesis Content
Paul, VPredicting the Discharge Date of Patients using Classification Techniques
Spaink, Hermes A.J.Age Classification of Zebrafish Larvae using Machine Learning from HOG Features