Figure 2.

The graphic representation of the 0-k mixture model for TFBS. The simple mixture of Markov models for TFBS. Since TFBS are short (5–16 bases), a mixture model consisting of the 0th order and 1st/2nd order Markov chains is generally adequate for predicting new binding sites. The sub-motif formed by independent positions is modeled by a 0th order Markov order model. The sub-motif forming by the remaining positions is modeled by either a 1st or 2nd order Markov chain, which can be either linear (break at dotted arrows) or circular.

Huang et al. BMC Bioinformatics 2006 7:279   doi:10.1186/1471-2105-7-279
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