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Fig. 3 | BMC Bioinformatics

Fig. 3

From: A new algorithm to train hidden Markov models for biological sequences with partial labels

Fig. 3

Comparison results 2 with synthetic data when initialized with fully connected transition matrix State number = 5 and training sample size = 1600. Training Methods: Ground truth model—black; cBW—green; cBW + model_selection—blue; Scheffer et al.—red. Decoding Methods: Viterbi—cross tick mark; posterior-Viterbi—circle tick mark. Generated by Matlab 2020a

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