Hidden Markov models - Hidden Markov models It turns out...

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Hidden Markov models It turns out that sequence profiles are a special case of a more general mathematical approach, called hidden Markov models (HMMs). These methods were originally used in speech recognition before the were applied to biological sequence analysis. A well-defined formalism exists , which helps with the theoretical understanding of what can be expected when applying it to sequence analysis. This is an important advantage of using HMMs instead of sequence profiles; the underlying theoretical basis is much more solid. Also, Bayesian statistics is used in several aspects of the method. A Markov process is a physical process of a special, but common kind. The basic idea is that we have a physical system that stepwise goes through some kind of change. For example, it may be die (svenska: "tärning") that we throw time and again; the change is the transition from the new value to the next. An essential characteristic of a Markov process is that the change is dependent only on the current state. The history of the system does not matter. The states that the system has been in before are
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This note was uploaded on 11/22/2011 for the course CHEMISTRY CHM1025 taught by Professor Laurachoudry during the Fall '10 term at Broward College.

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Hidden Markov models - Hidden Markov models It turns out...

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