Andreas Fønss Møller

Disentangling covariate effects on single cell-resolved epigenomes with DeepDive

DeepDive disentangles covariate effects on single-cell epigenomes, enabling counter-factual analyses and identifying diabetes-linked beta cell subtypes.

PAF15-PCNA assembly exhaustion governs lagging strand replication and replisome integrity

The paper identifies PAF15-PCNA assembly as a rate-limiting factor for lagging strand replication and replisome integrity, showing its regulation by the S-phase checkpoint.

Single cell-resolved transcriptional dynamics of human subcutaneous adipose tissue during lifestyle- and bariatric surgery-induced weight loss

This study examines transcriptional changes in human adipose tissue during weight loss from lifestyle and bariatric surgery, showing significant remodeling and reduced inflammation.

Evaluation and optimization of sequence-based gene regulatory deep learning models

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

A single-cell, time-resolved profiling of Xenopus mucociliary epithelium reveals non-hierarchical model of development

This study uses single-cell transcriptomics to reveal a non-hierarchical model of mucociliary epithelium development in Xenopus, identifying multipotent progenitors and distinct cell-type programs.

Predicting gene regulatory networks from cell atlases

The paper reconstructs gene regulatory networks from three mouse cell atlases to identify global and cell-type specific regulatory modules and their roles in cellular identity.