Lenz S, Hess M, and Binder H. Deep generative models in DataSHIELD. BMC Medical Research Methodology 2021;21:64.
Treppner M, Salas-Bastos A, Hess M, Lenz S, Vogel T, and Binder H. Synthetic single cell RNA sequencing data from small pilot studies using deep generative models. Scientific Reports 2021;11:9403.
Hess M, Hackenberg M, and Binder H. Exploring generative deep learning for omics data by using log-linear models. Bioinformatics 2020;36:5045–5053.
Marini F, Linke J, and Binder H. ideal: An R/Bioconductor package for interactive differential expression analysis. BMC Bioinformatics 2020;21:565.
Akhtar J, Kreim N, Marini F, Mohana G, Bruene D, Binder H, and Roignant JY. Promoter-proximal pausing mediated by the exon junction complex regulates splicing. Nature Communications 2019;10:521.
Schulz J, Takousis P, Wohlers I, Itua IO, Dobricic V, Rücker G, Binder H, Middleton L, Ioannidis JP, Perneczky R, Bertram L, and Lill CM. Meta‐analyses identify differentially expressed microRNAs in Parkinson’s disease. Annals of Neurology 2019;85:835–851.
Ogorodnikov A, Levin M, Tattikota S, Tokalov S, Hoque M, Scherzinger D, Marini F, Poetsch A, Binder H, Macher-Göppinger S, Probst HC, Tian B, Schaefer M, Lackner KJ, Westermann F, and Danckwardt S. Transcriptome 3′end organization by PCF11 links alternative polyadenylation to formation and neuronal differentiation of neuroblastoma. Nature Communications 2018;9:5331.
Prokosch HU, Acker T, Bernarding J, Binder H, Boeker M, Boerries M, Daumke P, Ganslandt T, Hesser J, Höning G, Neumaier M, Marquardt K, Renz H, Rothkötter HJ, Schade-Brittinger C, Schmücker P, Schüttler J, Sedlmayr M, Serve H, Sohrabi K, et al. MIRACUM: Medical informatics in research and care in university medicine: A large data sharing network to enhance translational research and medical care. Methods of Information in Medicine 2018;57:e82–e91.
Hess M, Lenz S, Blätte TJ, Bullinger L, and Binder H. Partitioned learning of deep Boltzmann machines for SNP data. Bioinformatics 2017;33:3173–3180.
Poplawski A and Binder H. Feasibility of sample size calculation for RNA-seq studies. Briefings in Bioinformatics 2017;19:713–720.
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg
