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.

Related Questions

What does the term “hidden” refer to in hidden Markov model technique?
Which of the following is untrue about Prediction Using Neural Networks for Gene Prediction?
Which of the following is untrue about Prediction Using Discriminant Analysis for Gene Prediction?