iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites.

By Kuo-Chen Chou, Zhi-cheng Wu, Xuan Xiao. Molecular Biosystems, 2012

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iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition (2013, methodology): “, [20,21,22,23]), to establish a really useful statistical predictor for a protein or DNA system based on the sequence information, we usually need to consider the following procedures: (i) construct or select a valid benchmark dataset to train and test the predictor; (ii) formulate the protein or D”
pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. (2016, background): “For the multi-label systems whose emergence has become more frequent in system biology [75-77] and system medicine [78], a completely different set of metrics is needed as elaborated in [79].”