Philipp Weiler

Plasticity of Human Microglia and Brain Perivascular Macrophages in Aging and Alzheimer's Disease

The paper profiles human myeloid cells across aging and Alzheimer's disease, identifies AD-associated changes, and links GPNMB to neuroprotection via TREM2.

RegVelo: gene-regulatory-informed dynamics of single cells

RegVelo integrates gene regulatory networks with dynamic modeling to predict cellular changes and perturbations, showing improved performance in cell cycle, hematopoiesis, and pancreatic development datasets.

Oncogenic and tumor-suppressive forces converge on a progenitor niche at the benign-to-malignant transition

In mouse pancreatic cancer models, p53, CDKN2A and SMAD4 programs converge on a rare Kras-mutant progenitor-like state whose niche KRAS inhibition collapses and p53 loss expands.

Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells

This paper introduces veloVI, a deep generative model for RNA velocity analysis, showing improved data fit, consistency, and uncertainty quantification compared to existing methods.

Unified fate mapping in multiview single-cell data

The paper introduces CellRank 2, a framework for analyzing multiview single-cell data to study cellular fate, showing it recovers terminal states and fate probabilities across modalities in hematopoiesis and endodermal development.

A guide to trajectory inference and RNA velocity

This paper explains trajectory inference and RNA velocity methods for analyzing single-cell RNA-seq data to study cellular dynamics.

Modeling Single-Cell Dynamics Using Unbalanced Parameterized Monge Maps

This paper introduces UPMM to model single-cell dynamics, showing it outperforms existing methods on real developmental data.