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- GAME-DeepBICCN2-Predictor Public
DeepBICCN2 Cell Type-Specific Chromatin Accessibility Predictor Container for the Genomic API for Model Evaluation (GAME)
aertslab/GAME-DeepBICCN2-Predictor’s past year of commit activity - GAME-BICCN-Evaluator-EnhancerLabel Public
GAME container files for the BICCN evaluator (on-target enhancer cell type classification)
aertslab/GAME-BICCN-Evaluator-EnhancerLabel’s past year of commit activity - CREsted Public
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-specific sequences.
aertslab/CREsted’s past year of commit activity - single_cell_toolkit Public
Tools for correcting single cell barcodes for various scATAC-seq techniques and creating fragment files and spltting BAM files per cluster.
aertslab/single_cell_toolkit’s past year of commit activity - pycisTopic Public
pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.
aertslab/pycisTopic’s past year of commit activity - CREsted-paper Public
aertslab/CREsted-paper’s past year of commit activity - HyDrop_v2_paper Public
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 microfluidic system HyDrop with increased sensitivity and scale: HyDrop v2.
aertslab/HyDrop_v2_paper’s past year of commit activity
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