Foundations of semialgebraic gene-environment networks
type: Item
instance of: scholarly article
title: Foundations of semialgebraic gene-environment networks
zbMATH Open document ID: 1465.92042
author: Erik Kropat
author: Erfan Babaee Tirkolaee
author: Gerhard-Wilhelm Weber
published in: Journal of Dynamics and Games
publication date: 2021-01-14T00:00:00Z
review text: In the paper the authors attempt to ``go beyond traditional stochastic approaches and propose a novel framework of semialgebraic gene-environment networks''. Following an overview of the state of the art of gene-environment networks that addresses models under uncertainty, the semi-algebraic description of uncertainty regions and genome-wide association studies, the authors propose a novel definition of networks that underline (and separate) genes and environmental factors. Next, clustered partitions are discussed in detail, followed by a thorough overview of uncertainty regions. Also included are approaches for network pruning.
reviewed by: Irina Ioana Mohorianu
Mathematics Subject Classification ID: 92C42
Mathematics Subject Classification ID: 92D10
Mathematics Subject Classification ID: 90C11
zbMATH DE Number: 7294469
zbMATH Keywords: gene-environment networks
zbMATH Keywords: semialgebraic regression
zbMATH Keywords: semialgebraic uncertainty
zbMATH Keywords: geometric model
zbMATH Keywords: forecasting
zbMATH Keywords: uncertainty modeling
zbMATH Keywords: mixed-integer programming
zbMATH Keywords: continuous programming
MaRDI profile type: Publication
full work available at URL: jdg.2020018
OpenAlex ID: W3038441856
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DOI: 10.3934/JDG.2020018
description: scientific article; zbMATH DE number 7294469