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October 15th, 2012, 08:45 AM  #1 
Newbie Joined: Oct 2012 Posts: 2 Thanks: 0  Help with Hidden Markov chain
Hey All, I've been working on this question for few hours with no success. I'd appreciate any input. Based on the Viterbi algorithm, marginal probability of a sequences being generated by a given HMM model with the Forward algorithm, I'm trying to calculate both, the most probable pathViterbi as well as the marginal probability of observing the sequence “ILDE”, for the model defined below. a. The model has two possible states: transmembrane state (TM) and nontransmembrane state (NT) b. The state transition matrix A: St+1 TM NT St TM 0.8 0.2 NT 0.2 0.8 c. The emission matrix E: Amino Acids L I E D State TM 0.45 0.45 0.05 0.05 NT 0.05 0.05 0.45 0.45 Assume that transition from start state to TM or NT has equal chance 0.5. 
October 15th, 2012, 10:58 PM  #2 
Senior Member Joined: Aug 2012 Posts: 229 Thanks: 3  Re: Help with Hidden Markov chain
Hey dr_romix. Can you reply in the thread on Math Help Forum? I posted a reply there. 
October 16th, 2012, 06:36 PM  #3 
Newbie Joined: Oct 2012 Posts: 2 Thanks: 0  Re: Help with Hidden Markov chain
thanks I did


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