Single-cell RNA sequencing (scRNA-seq) has become a routinely used technique to
quantify the gene expression profile of thousands of single cells simultaneously. Analysis of …

Summary Interferon-gamma (IFN-γ) has pleiotropic effects on cancer immune checkpoint
blockade (ICB), including roles in ICB resistance. We analyzed gene expression in ICB …

The epigenetic control of gene expression is highly cell-type and context specific. Yet,
despite its complexity, gene regulatory logic can be broken down into modular components …

Abstract Deep Generative Models (DGMs) are becoming instrumental for inferring
probability distributions inherent to complex processes, such as most questions in …

We consider an increasingly popular study design where single-cell RNA-seq data are
collected from multiple individuals and the question of interest is to find genes that are …

The advent and rapid development of single-cell technologies have made it possible to
study cellular heterogeneity at an unprecedented resolution and scale. Cellular …

Trajectory inference methods are essential for analyzing the developmental paths of cells in
single-cell sequencing datasets. It provides insights into cellular differentiation, transitions …

Abstract single-cell sequencing methods have enabled the profiling of multiple types of
molecular readouts at cellular resolution, and recent developments in spatial barcoding, in …

Multimodal single-cell technologies profile multiple modalities for each cell simultaneously
and enable a more thorough characterization of cell populations alongside investigations …

Epigenetic control of gene expression is highly cell-type-and context-specific. Yet, despite its
complexity, gene regulatory logic can be broken down into modular components consisting …