scRNA-seq Network Inference Benchmarking
Benchmarking gene regulatory network inference methods on bulk and single-cell RNA-seq data.
Featured bioinformatics projects.
Benchmarking gene regulatory network inference methods on bulk and single-cell RNA-seq data.
Improving gene regulatory network inference by integrating priors with transcription factor activity in bulk and single-cell data.
Learning cell–cell graphs using probabilistic graphical models to improve lineage reconstruction and trajectory inference in single-cell RNA-seq data.
Multi-omic network analysis reveals compensatory autophagy programs in maize.
Dissecting rod-to-cone fate reprogramming in human retinal organoids using single-cell transcriptomics and gene regulatory network analysis.
Single-cell time course of hindbrain differentiation to map lineages and identify stage-specific gene regulatory networks.