Department of Applied mathematics, computer science and statistics
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- 2017
- stageR: a general stage-wise method for controlling the gene-level false discovery rate in differential expression and differential transcript usage
- Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy
- ConTra v3: a tool to identify transcription factor binding sites across species, update 2017
- Machine learning for biological network inference
- Experimental design and data-analysis in label-free quantitative LC/MS proteomics: A tutorial with MSqRob
- Discrete optimization algorithms for marker-assisted plant breeding
- Moving Beyond Managing Realized Genomic Relationship in Long-Term Genomic Selection
- Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection
- On the number of hamiltonian cycles in triangulations with few separating triangles
- Development of machine learning techniques for flow cytometry data