Ionas Erb

This study uses multi-omics analysis to show that aneuploidy in Leishmania causes proportional changes in transcript and protein abundance, with post-transcriptional regulation compensating for some effects.

This study shows that AlphaFold2 improves sequence alignments even when structural models are not highly accurate, outperforming sequence-based alignments.

This paper introduces a data-driven method for dimensionality reduction of compositional data using amalgamation, achieving performance comparable to state-of-the-art methods while producing interpretable features.

The paper argues that simple linear statistics can outperform the mmvec neural network in analyzing microbe-metabolite correlations.

This paper provides a guide for applying compositional data analysis to NGS count data, emphasizing log-ratio transformations and addressing limitations of conventional normalization methods.

This paper explores using balances to engineer features for classifying health biomarkers and benchmarks transformation methods across different biomarker types.

This study shows that DYRK1A haploinsufficiency leads to impaired neocortical circuit development, contributing to neurological symptoms in a syndrome related to Down syndrome.

The paper introduces a regressive alignment algorithm that starts with the most dissimilar sequences, producing more accurate alignments for large datasets.

This paper reviews compositional data analysis principles and discusses their application to sequencing data, highlighting challenges and future directions.

This paper introduces a normalization-free method for detecting differential gene expression by analyzing changes in gene ratio proportionality between sample groups.