Publications

Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders (2023). Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear methods. bioR$\chi$iv.

PDF DOI Reproducibility Github

Constantin Ahlmann-Eltze, Wolfgang Huber (2023). Comparison of transformations for single-cell RNA-seq data. Nat. Methods.

PDF Project DOI Reproducibility R package Github Shiny App

Constantin Ahlmann-Eltze, Wolfgang Huber (2023). Analysis of multi-condition single-cell data with latent embedding multivariate regression. bioR$\chi$iv.

PDF Project DOI Github

Constantin Ahlmann-Eltze, Wolfgang Huber (2020). glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data. Bioinformatics.

PDF Project DOI Reproducibility R package Github

Constantin Ahlmann-Eltze, Simon Anders (2019). proDA: Probabilistic Dropout Analysis for Identifying Differentially Abundant Proteins in Label-Free Mass Spectrometry. bioR$\chi$iv.

PDF Project DOI Reproducibility R package Github

Constantin Ahlmann-Eltze, Christopher Yau (2018). MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data. IEEE DSAA.

PDF Project DOI Reproducibility R package Github

Max Waldhauer, Silvan Schmitz, Constantin Ahlmann-Eltze, […], Roland Eils, Barbara Di Ventura (2015). Backbone circularization of Bacillus subtilis family 11 xylanase increases its thermostability and its resistance against aggregation. Mol. BioSyst..