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CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specifi…
aertslab/scenicplus’s past year of commit activity
SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromati…
To facilitate the cost-effective generation of large scATAC-seq atlases for deep learning model training, we developed a new version of the open-source microflu…
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to …