snRNA-seq analysis in multinucleated myogenic FSHD cells identifies heterogeneous FSHD transcriptome signatures associated with embryonic-like program activation and oxidative stress-induced apoptosis

An integrated single-cell RNA-seq atlas of the mouse hypothalamic paraventricular nucleus links transcriptomic and functional types

Predicting cell population-specific gene expression from genomic sequence

Consequences and opportunities arising due to sparser single-cell RNA-seq datasets

Transcriptional and cell type profiles of cortical brain regions showing ultradian cortisol rhythm dependent responses to emotional face stimulation

scTopoGAN: unsupervised manifold alignment of single-cell data

Cell type matching across species using protein embeddings and transfer learning

A comprehensive mouse kidney atlas enables rare cell population characterization and robust marker discovery

Spatial transcriptomics reveal markers of histopathological changes in Duchenne muscular dystrophy mouse models

Single-cell reference mapping to construct and extend cell-type hierarchies

Benchmarking variational AutoEncoders on cancer transcriptomics data

Single-Cell Transcriptomics Reveals Discrete Steps in Regulatory T Cell Development in the Human Thymus

The Effect of Phenotype and Genotype on the Plasma Proteome in Patients with Inflammatory Bowel Disease

Single-Cell Analysis of Refractory Celiac Disease Demonstrates Inter- and Intra-Patient Aberrant Cell Heterogeneity

Correcting Differential Gene Expression Analysis for Cyto—Architectural Alterations in Substantia Nigra of Parkinson’s Disease Patients Reveals Known and Potential Novel Disease—Associated Genes and Pathways

Identification of a Disease-Associated Network of Intestinal Immune Cells in Treatment-Naive Inflammatory Bowel Disease

Spatial dynamic metabolomics identifies metabolic cell fate trajectories in human kidney differentiation

scMoC: single-cell multi-omics clustering

Analyzing cell-type-specific dynamics of metabolism in kidney repair

Identification and characterization of two consistent osteoarthritis subtypes by transcriptome and clinical data integration