Optimizing experimental design in genetics

DOI10.1007/s10957-012-0172-9zbMath1267.90078OpenAlexW1976058668MaRDI QIDQ353179

S. D. Tanksley, Benjamin McClosky

Publication date: 12 July 2013

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-012-0172-9

zbMATH Keywords

mixed-integer programmingmodel misspecificationexperimental designgenomics

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Mixed integer programming (90C11)

Uses Software

• alr3
• FPPG

Cites Work

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• Generating and improving orthogonal designs by using mixed integer programming
• Using integer programming techniques for the solution of an experimental design problem
• Clique-detection models in computational biochemistry and genomics
• Sampling Decisions in Optimum Experimental Design in the Light of Pontryagin's Maximum Principle
• Opportunities for Combinatorial Optimization in Computational Biology
• Constraint Orbital Branching
• Integer Programming Formulations and Computations Solving Phylogenetic and Population Genetic Problems with Missing or Genotypic Data
• Applied Linear Regression
• Power of the Noncentral F-Test: Effect of Additional Variates on Hotelling's T 2 -Test
• Restricted b‐factors in bipartite graphs and t‐designs
• Nonoverlapping local alignments (weighted independent sets of axis-parallel rectangles)

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