DN-Fold

[…] that are each trained on datasets of target-template protein pairs. rf-fold recognition rate is comparable to the best performance in fold recognition at the family, superfamily, and fold levels., dn-fold is another fold recognition technique, but it uses a deep learning neural network as a basis for learning []. a deep learning network has many more layers than a typical neural network. […]

[…] described for dnasei hypersensitive sites (dhss) (,). in brief, summits of ets1 dn and dp peaks were merged, annotated as proximal or distal sites to the nearest gene and sorted by ets1 dp/dn fold change after retrieving counts in both datasets at summits. corresponding heatmaps and average profiles of other high-throughput sequencing data were retrieved using this order via […]