This is because of their robust statistical foundation, conceptual simplicity and malleability that allow researchers to adapt them to fit diverse classification problems ( Brejová and Brown, 2008).
Since the first application of hidden Markov models (HMMs) to biological sequences in the 1980s, they have become a fundamental tool in bioinformatics.
0 kommentar(er)
