Factorial and time course designs for cDNA microarray experiments
From MaRDI portal
Publication:5701300
DOI10.1093/biostatistics/5.1.89zbMath1096.62077OpenAlexW2132437213WikidataQ52004578 ScholiaQ52004578MaRDI QIDQ5701300
Patricia J. Solomon, G. F. V. Glonek
Publication date: 2 November 2005
Published in: Biostatistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biostatistics/5.1.89
Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Biochemistry, molecular biology (92C40) Factorial statistical designs (62K15)
Related Items (17)
A systematic construction of compromise designs under baseline parameterization ⋮ Analyzing factorial designed microarray experiments ⋮ Robust multistratum baseline designs ⋮ The changing focus of microarray analysis ⋮ Pareto simulated annealing for the design of experiments: illustrated by a gene expression study ⋮ Cost-efficiency considerations in the choice of a microarray platform for time course experimental designs ⋮ Optimal designs for 2-color microarray experiments ⋮ Gene profiling for determining pluripotent genes in a time course microarray experiment ⋮ Some new constructions of strength 3 mixed orthogonal arrays ⋮ Efficient design and analysis of two colour factorial microarray experiments ⋮ Optimal factorial designs for CDNA microarray experiments ⋮ Design and Analysis of Two‐Phase Experiments for Gene Expression Microarrays—Part I ⋮ A genetic algorithm for designing microarray experiments ⋮ Statistical designs for two-color microarray experiments involving technical replication ⋮ Optimal biased weighing designs and two-level main-effect plans ⋮ Balanced Factorial Designs for cDNA Microarray Experiments ⋮ Highly efficient factorial designs for cDNA microarray experiments: use of approximate theory together with a step-up step-down procedure
This page was built for publication: Factorial and time course designs for cDNA microarray experiments