Motivation Quantification estimates of gene expression from single-cell RNA-seq (scRNA-
seq) data have inherent uncertainty due to reads that map to multiple genes. Many existing …

Single cell RNA-sequencing has revolutionized transcriptome analysis. ScRNA-seq
provides a massive resource for studying biological phenomena at single cell level. One of …

Proper heart formation requires coordinated development of two anatomically distinct
groups of cells-the first and second heart fields (FHF and SHF). Given that congenital heart …

Purpose: To create a high-performance reactive web application to query single-cell gene
expression data across cell type, species, study, and other factors. Methods: We updated the …

Maintaining motor skills is crucial for an animal's survival, enabling it to endure diverse
perturbations throughout its lifespan, such as trauma, disease, and aging. What mechanisms …

Sparse models are desirable for many applications across diverse domains as they can
perform automatic variable selection, aid interpretability, and provide regularization. When …

Abstract Recently, Booeshaghi and Pachter published a benchmark comparing the kallisto-
bustools pipeline for single-cell data pre-processing to the alevin-fry pipeline. Their …

The ongoing SARS-CoV-2 pandemic and subsequent demand for viral testing has led to
issues in scaling diagnostic lab efforts and in securing basic supplies for collection and …

In single-cell genomics, we can simultaneously assay hundreds of thousands of cells, their
molecular contents, and how they respond to perturbation, from genetic knockouts to …

Frequent and widespread testing of the asymptomatic population is essential to mitigate the
uncontrolled transmission of the severe acute respiratory syndrome coronavirus 2 (SARS …