Accurately identifying cell-populations is paramount to the quality of downstream analyses
and overall interpretations of single-cell RNA-seq (scRNA-seq) datasets but remains a …

Spinal motor neurons (MNs) integrate sensory stimuli and brain commands to generate
movements. In vertebrates, the molecular identities of the cardinal MN types such as those …

Computational methods for integrating single-cell transcriptomic data from multiple samples
and conditions do not generally account for imbalances in the cell types measured in …

Locomotion requires precise control of the strength and speed of muscle contraction and is
achieved by recruiting functionally distinct subtypes of motor neurons (MNs). MNs are …

Objectives Partial or total resistance to preoperative chemoradiotherapy occurs in more than
half of locally advanced rectal cancer patients. Several novel or repurposed drugs have …

Advances in single-cell transcriptomics provide an unprecedented opportunity to explore
complex biological processes. However, computational methods for analyzing single-cell …

Multi-view data can be generated from diverse sources, by different technologies, and in
multiple modalities. In various fields, integrating information from multi-view data has pushed …

Altered regulatory interactions during development likely underlie a large fraction of
phenotypic diversity within and between species, yet identifying specific evolutionary …

Spatially resolved transcriptomic analyses can reveal molecular insights underlying tissue
structure and context-dependent cell-cell or cell-environment interaction. Because of the …

Several methods have been developed to computationally predict cell-types for single cell
RNA sequencing (scRNAseq) data. As methods are developed, a common problem for …