dynGENIE3: Dynamical GENIE3 for the Inference of Gene Networks From Time Series Expression Data

Scientific Reports- United Kingdom

doi 10.1038/s41598-018-21715-0

Full Text

Abstract

Available in

Date

Authors

Publisher

Springer Science and Business Media LLC

Related search

A Novel Mutual Information-Based Boolean Network Inference Method From Time-Series Gene Expression Data

PLoS ONE
Multidisciplinary
2017English

Bayesian Inference of Genetic Regulatory Networks From Time Series Microarray Data Using Dynamic Bayesian Networks

Journal of Multimedia
2007English

Nonparametric Inference for Unbalanced Time Series Data

Econometric Theory
EconomicsEconometricsSocial Sciences
2005English

Dynamical Systems Induced on Networks Constructed From Time Series

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2015English

Inference of Population Structure From Time-Series Genotype Data

American Journal of Human Genetics
Genetics
2019English

Inference of Gene Interaction Networks Using Conserved Subsequential Patterns From Multiple Time Course Gene Expression Datasets

BMC Genomics
BiotechnologyGenetics
2015English

Constructing Networks From a Dynamical System Perspective for Multivariate Nonlinear Time Series

Physical review. E
Nonlinear PhysicsProbabilityStatisticsCondensed Matter PhysicsStatistical
2016English

Extracting Biologically Significant Patterns From Short Time Series Gene Expression Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2009English

Incorporating Heuristics in a Swarm Intelligence Framework for Inferring Gene Regulatory Networks From Gene Expression Time Series

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy