bioskills-deep-learning-atac

name	bioskills-deep-learning-atac
description	Sequence-based deep learning (chromBPNet, tangermeme, TF-MoDISco) for ATAC-seq: Tn5 bias correction, variant effect prediction, and de novo motif discovery.
domain	single-cell
primary_tool	chromBPNet
methods	["chromBPNet","bpnet-lite","tangermeme","tfmodisco-lite","DeepLIFT","scBasset","EnFormer","Borzoi","variant-scorer"]
macro_tags	["deep-learning","atac-seq","variant-effect","motif-discovery","bias-correction","sequence-model"]
micro_tags	["chromBPNet","bpnet-lite","tangermeme","tfmodisco-lite","DeepLIFT","scBasset","EnFormer","Borzoi","variant-scorer","tool-selection","environment-setup","version-check","data-prep","chromosome-splits","qc","bias-model","tn5-bias","cnn-training","accessibility-model","bias-correction","variant-effect","ism","deeplift","shap","tfmodisco","motif-discovery","validation","reconciliation","cross-tool"]
source	bioskills-deep-learning-atac
status	active
enabled	true

Bioskills Deep Learning Atac