Figure 4From: Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov modelsComparison of AAMMs with co-training MMs. Comparison of AAMMs with co-training MMs on non-plant (left), plant (center), and psortNeg (right) data sets. AAMMs are trained on the first 60 and the last 15 amino acids of each protein sequence, AAMM(60 + 15). Co-training MMs consists of two co-trained MMs, one trained on the first 60 amino acids of each sequence, the other trained on the last 15 amino acids of each sequence. x axis indicates the number of labeled examples in each data set corresponding to fractions of 1%, 5%, 10%, 15%, 20%, 25%, 35%, 50% of training data being treated as labeled data. The fraction of unlabeled data in each data set is fixed to 50%.Back to article page