BPNet models used as Ledidi examples

This includes a set of BPNet models trained using bpnet-lite along with the training parameter files used for evaluating Ledidi. The training parameter files include the ENCODE accessions for the signal and peak files used for training. The models were trained using PyTorch and can be loaded and used with the bpnet-lite repository, where they are instances of the `BPNet` object.

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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