IBD Sharing between Africans, Neandertals, and Denisovans _{Genome Biol. Evol.}

Weighted similarity-based clustering of chemical structures and bioactivity data in early drug discovery _{J. Bioinform. Comput. Biol.}

A joint modeling approach for uncovering associations between gene expression, bioactivity and chemical structure in early drug discovery to guide lead selection and genomic biomarker development _{Stat. Appl. Genet. Mol. Biol.}

Transcriptome profiling of antimicrobial resistance in Pseudomonas aeruginosa _{Antimicrob. Agents Chemother.}

Hsa-miR-375 is a predictor of local control in early stage breast cancer _{Clin. Epigenetics}

DeepTox: Toxicity Prediction using Deep Learning _{Front. Environ. Sci.}

Long Short-Term Memory For Autonomous Driving Cars _NIPS

Deep Learning for predicting synergy effects of drug combinations _NIPS

HapRFN: a deep learning method for identifying short IBD segments _NIPS

Speeding up Semantic Segmentation for Autonomous Driving _NIPS

Speeding up Semantic Segmentation for Autonomous Driving _NIPS

panelcn.MOPS: CNV detection in targeted panel sequencing data for diagnostic use _ASGH

HapRNF: a deep learning method to identify short IBD segments _ASHG

Deep Learning for Drug Target Prediction _{GTC Europe}

Long Short-Term Memory For Autonomous Driving Cars _{GTC Europe}

Rectified Factor Networks for Biclustering _ICLR

Understanding Very Deep Networks via Volume Conservation _ICLR

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) _ICLR

Applied Biclustering Methods for Big and High-Dimensional Data Using R _{Taylor & Francis Group}

Introduction _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

δ-biclustering and FLOC Algorithm _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

The Plaid Model _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

FABIA _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

Gene Expression Experiments in Drug Discovery _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

Biclustering Methods in Chemoinformatics and Molecular Modeling _{Applied Biclustering Methods for Big and High-Dimensional Data Using} 

Ranking of Biclusters in Drug Discovery Experiments _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

HapFABIA: Biclustering for Detecting Identity by Descent _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

The BiclustGUI Package _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

biclustGUI Shiny App _{Applied Biclustering Methods for Big and High-Dimensional Data Using R}

Multi-Target Deep Neural Networks for Toxicity Prediction _{Master Thesis}

Long Short-Term Memory and convolutional neural networks for SNV-based phenotype prediction _{Master Thesis}

The Maximum Common Subgraph Kernel For Predicting Kinase Inhibitors _{Master Thesis}

Multiple Sequence Alignment with R _{Master Thesis}

Parallel Long Short Term Memory LSTM _{Master Thesis}

Deep Learning for Drug Combination Synergy Prediction _{Master Thesis}

Classification of (alternatively) spliced exons using state-of-the-art sequence kernels _{Master Thesis}

Accurate detection of tumor copy number variations in high-throughput sequencing data _{Master Thesis}

panelcn.MOPS reaches clinical standards as a copy number variation detection tool for targeted panel sequencing _{Master Thesis}