Data-driven selection and parameter estimation for DNA methylation mathematical models
type: Item
instance of: scholarly article
title: Data-driven selection and parameter estimation for DNA methylation mathematical models
zbMATH Open document ID: 1409.92085
author: K. Larson
author: Loukas Zagkos
author: Mark Mc Auley
author: Nikos I. Kavallaris
author: Anastasios Matzavinos
author: J. A. Roberts
published in: Journal of Theoretical Biology
publication date: 2019-03-11T00:00:00Z
full work available at URL: http://hdl.handle.net/10034/621823
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92-04
zbMATH DE Number: 7033941
zbMATH Keywords: DNA methylation
zbMATH Keywords: model selection
zbMATH Keywords: parameter estimation
zbMATH Keywords: gene promoter
zbMATH Keywords: CpG dyads
describes a project that uses: Pi4U
MaRDI profile type: Publication
OpenAlex ID: W2910571328
Wikidata QID: Q91003158
cites work: Bayesian Reasoning and Machine Learning
cites work: \(\Pi\)4U: a high performance computing framework for Bayesian uncertainty quantification of complex models
cites work: A dynamic multi-compartmental model of DNA methylation with demonstrable predictive value in hematological malignancies
cites work: Mathematical models of DNA methylation dynamics: implications for health and ageing
DOI: 10.1016/J.JTBI.2019.01.012
description: scientific article; zbMATH DE number 7033941