Multilocus tetrasomic linkage analysis using hidden Markov chain model. [PDF]
Leach LJ, Wang L, Kearsey MJ, Luo Z.
europepmc +1 more source
Abstract Laccases are versatile, multicopper oxidases with broad biotechnological applications due to their ability to oxidize a wide range of substrates. Here, we introduce a computational pipeline that combines sequence filtering, Monte Carlo simulations, and quantum mechanical spin density calculations to identify laccase candidates tailored to ...
Ruite Xiang +5 more
wiley +1 more source
Longitudinal analysis of body weight reveals homeostatic and adaptive traits linked to lifespan in diversity outbred mice. [PDF]
Prateek GV +6 more
europepmc +1 more source
Learning Covariate Relations in Disease Progression Models Using Symbolic Neural Networks
ABSTRACT Covariate modeling provides individual predictions of outcomes by disease progression models. Current methodology for mapping covariates onto model parameters is limited by predefined parametric functions which can result in inadequate covariate selection and biased predictions by the final model. Furthermore, present methodology scales poorly
Jesper Sundell +4 more
wiley +1 more source
An Explainable Markov Chain-Machine Learning Sequential-Aware Anomaly Detection Framework for Industrial IoT Systems Based on OPC UA. [PDF]
Ghazi Y, Tabaa M, Ennaji M, Zaz G.
europepmc +1 more source
New, Shorter Small‐Sample Intervals for Vaccine Efficacy
ABSTRACT In this work we illustrate a method to improve estimation of Vaccine Efficacy (VE), a vastly employed measure of effect in vaccine clinical research, with small and medium sample sizes. We introduce a comprehensive Bayesian approach that improves upon existing methodologies, explicitly considering patient recruitment processes to inform ...
Mauro Gasparini +2 more
wiley +1 more source
Research on the dynamic evolution mechanism of disruptive technology based on the BERTopic model and Hidden Markov Model: A case study of industrial Internet technology. [PDF]
Yang H, Chen S, Yang X.
europepmc +1 more source
Plant pathogen profiling with the EpiPvr package
Abstract This study introduces a flexible framework for epidemiological profiling of insect‐borne plant pathogens (IBPPs), utilising readily available experimental data. The framework is applicable to most IBPPs transmitted by insects feeding on plant veins, with particular relevance to whitefly‐borne viruses that impact cassava production in sub ...
Ruairí Donnelly +2 more
wiley +1 more source
Addressing ecological challenges from a quantum computing perspective
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet +2 more
wiley +1 more source

