markov chain models part 2 bmi cs 576 www biostat wisc edu bmi576 mark craven craven biostat wisc edu fall 2011 higher order markov chains the markov property specifies that ...
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...Markov chain models part bmi cs www biostat wisc edu mark craven fall higher order chains the property specifies that probability of a state depends only on previous but we can build more memory into our states by using model in an nth p x i n selecting remember history additional have predictive value example predict next word this sentence fragment duck end grain tide wall number parameters need to estimate grows exponentially with for modeling dna o less reliable expect parameter estimates be estimating nd from complete genome e coli d see each times average th over some alphabet is equivalent first tuples st treated as aa ac ag at ca cc cg ct ga gc gg gt ta tc tg tt caveat process sequence one character time c g t fifth aaaaa ctaca gctac ctacc begin ctacg ctact gctaca inhomogenous considered so far probabilities do not depend position given inhomogeneous different distributions positions consider codons protein coding regions pos...