The uploaded files are source datasets for the scMTNI algorithm. scMTNI is a multi-task learning framework that integrates the cell lineage structure, scRNA-seq and scATAC-seq measurements to enable j
The data is utilized for evaluating SFINN at https://github.com/JGuan-lab/SFINN.git and replicating experiments outlined in the corresponding manuscript.
Reduced size test dataset for workflow components of PySCENIC, including expected results (inputs for subsequent steps), directly collected or derived from https://github.com/aertslab/SCENICprotocol/t
This dataset contains the supporting materials for the paper "HALink: A VAE-Based and Hybrid GCN–GAT Architecture for Inferring Single-Cell Gene Regulatory Networks".
The increasing availability of single-cell multi-omics data allow to quantitatively characterize gene regulation. We here describe scMEGA (Single-cell Multiomic Enhancer-based Gene Regulatory Network
