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Figure 2 | BMC Bioinformatics

Figure 2

From: Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models

Figure 2

Comparison of AAMM(l+u) with AAMM(l), MMs, and EM-MMs. Comparison of AAMMs trained using an abstraction hierarchy learned from both labeled and unlabeled data, AAMM(l+u), with (i) AAMMs trained using an abstraction hierarchy learned only from labeled data, AAMM(l); (ii) Expectation-Maximization with Markov models, EM-MM; and (iii) Markov models, MM, on non-plant (left), plant (center), and psortNeg (right) data sets. 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%.

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BMC Bioinformatics

ISSN: 1471-2105

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