Publikationen 2015

msa: an R package for multiple sequence alignment _{Bioinformatics}

Prediction of human population responses to toxic compounds by a collaborative competition _{Nature Biotechnology}

Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map _{Bioinformatics}

KeBABS: an R package for kernel-based analysis of biological sequences _{Bioinformatics}

Using transcriptomics to guide lead optimization in drug discovery projects _{Drug Discovery Today}

Connecting gene expression data from connectivity map and in silico target predictions for small molecule mechanism-of-action analysis _{Mol. BioSyst.}

Graded dominance and related graded properties of fuzzy connectives _{Fuzzy Sets and Systems}

ELU-Networks - Fast and Accurate CNN Learning on ImageNet _ICCV

Rectified Factor Networks _NIPS

panelcn. MOPS reaches clinical standards as a CNV detection tool for targeted panel sequencing data _ASHG

KeBABS: an R/Bioconductor package for kernel-based analysis of biological sequences _ASHG

PODKAT: a software package implementing the position-dependent kernel association test _ASHG

Early Interbreeding between Ancestors of Humans, Neandertals, and Denisovans within Africa _SMBE 

Toxicity Prediction using Deep Learning _arXiv.org

Rectified Factor Networks _arXiv.org

Support Vector Regression vs. Neural Network Regression in the Field of Predicting Drug-Target Binding Activities _{Master Thesis}

Similarity-based clustering of big data: A parallel ensemble variant of leveraged affinity propagation _{Master Thesis}

Development, application and analysis of a pipeline for genotype-to-phenotype whole-genome based predictions _{Master Thesis}

A copy number analysis and genome-wide association study of schizophrenia data _{Master Thesis}

KeBABS - An R Package for Kernel-Based Analysis of Biological Sequences _{Master Thesis}

Inferring Regulatory Interactions from Microarray Data Using the FABIA Biclustering Method: A Case Study for E.coli K-12 _{Master Thesis}

Detecting CNVs in the 1000 Genomes Project Data Using cn.MOPS and Relating the Results to Transcriptome Sequencing Data _{Master Thesis}