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Constantin Ahlmann-Eltze

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear methods
Comparison of transformations for single-cell RNA-seq data
Analysis of multi-condition single-cell data with latent embedding multivariate regression
glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data
proDA: Probabilistic Dropout Analysis for Identifying Differentially Abundant Proteins in Label-Free Mass Spectrometry
MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data
Backbone circularization of Bacillus subtilis family 11 xylanase increases its thermostability and its resistance against aggregation