A genetic algorithm for designing microarray experiments

DOI10.1007/S00180-015-0618-2zbMath1342.65047OpenAlexW2179904017MaRDI QIDQ736628

A. H. M. Mahbub Latif, Edgar Brunner

Publication date: 4 August 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-015-0618-2

zbMATH Keywords

design criteriagenetic algorithmexperimental designmicroarray experiments

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

Genetic algorithm approach with an adaptive search space based on EM algorithm in two-component mixture Weibull parameter estimation ⋮ A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Efficient design and analysis of two colour factorial microarray experiments
• A note on robustness of D-optimal block designs for two-colour microarray experiments
• Finding Near-Optimal Bayesian Experimental Designs via Genetic Algorithms
• Experimental design for gene expression microarrays
• Factorial and time course designs for cDNA microarray experiments
• Near-Optimal Designs for Dual Channel Microarray Studies

This page was built for publication: A genetic algorithm for designing microarray experiments