Consolidated Deep Actor Critic Networks (DRAFT)

The works [Volodymyr et al. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602, 2013.] and [Volodymyr et al. Human-level control through deep reinforcement learning. Nature, 518(7540):529–533, 2015.] have demonstrated the power of combining deep neural networks with Watkins Q learning. They introduce deep Q networks ...

Interpretable classification of tumours through multiple instance learning and somatic mutations

Next generation sequencing is brought into the clinic. Screening of disease associated genes will aid the diagnosis of disorders with a genetic component. The diagnosis of cancer is of particular interest due to its variety and prevalence. The obtained mutations provide clues about underlying biological properties that could be used for...

Assessment of detection limits in viral diversity studies using 454 amplicon sequencing

Background Next-generation sequencing enables to detect sequence diversity in populations of viruses, an essential step in the development of drug mixtures to combat viral infections. The process of sequencing patient samples using bidirectional Roche 454 amplicon sequencing technology, as implemented at the Delft Diagnostic Laboratory (DDL),...

Detection of Copy Number Variation using Shallow Whole Genome Sequencing Data to replace Array-Comparative Genomic Hybridization Analysis

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...