ScBasset#
ScBasset 1 (Python class SCBASSET
) posits a sequence-based method for representation learning of scATAC-seq data.
The advantages of ScBasset are:
Sequence representations allow for TF motif discovery and other sequence-based analyses.
ScBasset is fast and scalable.
The limitations of ScBasset include:
ScBasset cannot currently leverage unobserved data and thus cannot curently be used for tranfer learning tasks.
Overview#
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- 1
Yuan Han and David R. Kelley (2022), scBasset: sequence-based modeling of single-cell ATAC-seq using convolutional neural networks, Nature Methods.