Predicting cell population-specific gene expression from genomic sequence

scTopoGAN: unsupervised manifold alignment of single-cell data

Cell type matching across species using protein embeddings and transfer learning

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

Benchmarking variational AutoEncoders on cancer transcriptomics data

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

scMoC: single-cell multi-omics clustering

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

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

Differential analysis of binarized single-cell RNA sequencing data captures biological variation

Transcriptomic Signatures Associated With Regional Cortical Thickness Changes in Parkinson’s Disease

Single-cell transcriptomics links loss of human pancreatic β-cell identity to er stress

Hierarchical progressive learning of cell identities in single-cell data

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

Cingulate networks associated with gray matter loss in Parkinson's disease show high expression of cholinergic genes in the healthy brain

CBA: Cluster-Guided Batch Alignment for Single Cell RNA-seq

Transcriptomic signatures of brain regional vulnerability to Parkinson’s disease

SpaGE: Spatial Gene Enhancement using scRNA-seq

Predicting Cell Populations in Single Cell Mass Cytometry Data

A comparison of automatic cell identification methods for single-cell RNA sequencing data