GAEM: Genetic Algorithm based Expectation-Maximization for inferring Gene Regulatory Networks from incomplete data

In Bioinformatics, inferring the structure of a Gene Regulatory Network (GRN) from incomplete gene expression data is a difficult task. One popular method for inferring the structure GRNs is to apply the Path Consistency Algorithm based on Conditional Mutual Information (PCA-CMI). Although PCA-CMI e...

Full description

Saved in:

Bibliographic Details
Published in:	Computers in biology and medicine Vol. 183; p. 109238
Main Authors:	Niloofar, Parisa, Aghdam, Rosa, Eslahchi, Changiz
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.12.2024 Elsevier Limited
Subjects:	Algorithms Bayesian network Bioinformatics Computational Biology - methods Conditional Mutual Information Convergence Databases, Genetic Datasets Expectation-Maximization Gene expression Gene Expression Profiling - methods Gene Regulatory Network Gene Regulatory Networks - genetics Genetic algorithm Genetic algorithms Humans Internal Medicine Machine learning Maximization Missing values Models, Genetic Optimization Other Conditional Mutual Information Gene Regulatory Network Genetic algorithm Bayesian network Expectation-Maximization Missing values
ISSN:	0010-4825, 1879-0534, 1879-0534
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!