Which of the following is a wrong statement regarding Gene Prediction Using Markov Models and Hidden Markov Models?
Which of the following is a wrong statement regarding Gene Prediction Using Markov Models and Hidden Markov Models? Correct Answer In a Markov model the conditional probability of a particular sequence position depends on k alternate positions
In a Markov model the conditional probability of a particular sequence position depends on k previous positions. In this case, k is the order of a Markov model. In a zero-order Markov model, it is often the case for noncoding sequences. A first-order Markov model assumes that the occurrence of a base depends on the base preceding it. A second-order model looks at the preceding two bases to determine which base follows, which is more characteristic of codons in a coding sequence.
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Feb 20, 2025