Discrete Hidden Markov Model (HMM) Implementation in C++
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Updated
Dec 12, 2018 - C++
Discrete Hidden Markov Model (HMM) Implementation in C++
dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
Implementation of Viterbi algorithm and Hidden Markov Model in C++
Implementation of Hidden Markov Model (HMM). IS Petnica summer camp project on computer science department. Soon to be library for c++
Identifying PMDs using a non-parametric HMM
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