Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. By interpreting data, the analyst transforms raw information into actionable insights that guide ...