GitHub

Viterbi Algorithm for Hidden Markov Models in Python.md

Viterbi Algorithm for Hidden Markov Models in Python Slide 1: Introduction to Viterbi Algorithm for Hidden Markov Models The Viterbi algorithm is a dynamic programming approach used to find the most ...
Nature

Survival trade-offs in plant roots during colonization by closely related beneficial and pathogenic fungi

This HMM was created and fitted on the observed 10 kb SNP densities by the expectation-maximization algorithm using functions ‘depmix’ and ‘fit’ (R package depmixS4), and subsequently the posterior ...
Nature

Sooty mangabey genome sequence provides insight into AIDS resistance in a natural SIV host

Using around 550 mostly continuous compute hours on Blacklight, we partitioned the computational job into three phases described by the Trinity algorithm: Inchworm (around 100 h × 64 cores), Chrysalis ...
GitHub

realabbas/list-of-algorithms

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
PNAS

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Edited by Christos Davatzikos, University of Pennsylvania, Philadelphia, PA; received July 5, 2024; accepted December 19, 2024, by Editorial Board Member Daniel L. Schacter ...