shivChitinous/hmms

decoding, evaluating and learning HMMs from a bioinformatics perspective

hmms

Evaluation, decoding and learning for Hidden Markov Models (HMMs)

The following algorithms are implemented

1. Viterbi agorithm for decoding HMMs
2. Forward and Backward Algorithms for evaluating HMMs
3. Baum-Welch Method using the forward-backward algorithm for learning HMM parameters

References:

1. Durbin, R., Eddy, S. R., Krogh, A., & Mitchison, G. (1998). Biological Sequence Analysis.
2. Huw A. Ogilvie (2020). Blog — Species and Gene Evolution