Registrations are now open for the next edition of the course on Markov and Hidden Markvov Models in R with Prof. Fulvia Pennoni.

For more information: www.physalia-courses.org/courses-work...

#Rstats #MarkovModels #HiddenMarkovModels #Statistics

Hidden Markov Models nello Sport: Guida ai Modelli di Markov #HiddenMarkovModel #MarkovModels #SportsAnalytics #FootballAnalytics #DataScience #MachineLearning #PredictiveAnalytics #SportsData #BettingAnalytics #TipsterExpert

tipsterexpert.it/hidden-marko...

🚀New from our lab @biorxivpreprint.bsky.social!
We reveal a cryptic metal binding pocket that dinamically forms in #CRISPR-Cas9 and regulates the metal-dependent activity of #Cas9.
#MarkovModels & #QuantumChemistry corroborated by biochem & #NMR experiments.
www.biorxiv.org/content/10.1...

An FPGA-based hardware accelerator supporting sensitivesequence homology filtering with profile hidden Markovmodels https://www.biorxiv.org/content/10.1101/2023.09.20.558701v1

The workshop equipped researchers with practical skills to conduct model-based #economicevaluations using #Markovmodels in Excel, combining theory with hands-on model building and analysis. 📊

🎬 Watch the workshop highlights: youtu.be/06wOXvNlDiQ

🎉Celabrating the successful 4th Regional Workshop on Advanced #HealthEconomicEvaluation at JIPMER, Puducherry 🤝

🗝️ Participants gained hands-on skills in building #Markovmodels in Excel, conducting deterministic & probabilistic analyses, interpreting results, & reporting for peer-reviewed journals.

📢 Join our online course "Markov and Hidden Markov Models with Applications in R" (1–4 Sept)!
Learn HMMs for longitudinal data analysis, model estimation, uncertainty assessment, and hands-on implementation in R with LMest. 🧬📊
www.physalia-courses.org/courses-work...

#MarkovModels #Rstats

Users shared experiences using Markov models, highlighting the challenge of achieving both coherence and originality. A key insight: varying n-gram lengths (e.g., 2-gram vs. 3-gram) is crucial for tuning output from novel to readable. #MarkovModels 2/6

An FPGA-based hardware accelerator supporting sensitivesequence homology filtering with profile hidden Markovmodels https://www.biorxiv.org/content/10.1101/2023.09.20.558701v1