DISpro uses a 1D-RNN to predict the probablity that residues are disorder. The probabilities are also thresholded at probablity .5 to make a hard classification. The input to DISpro is the sequence profile, predicted secondary structure, and predicted relative solvent accesiblity.
:: MORE INFORMATION
J. Cheng, M. Sweredoski, & P. Baldi.
Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data.
Data Mining and Knowledge Discovery, vol. 11, no. 3, pp. 213-222, (2005).