Optimal designs for one and two-colour microarrays using mixed models A comparative evaluation of their efficiencies Lima Passos, Winkens, Tan and Berger
Risk of over-fitting the data: may have a perfect discriminator for the data set ... Once a final model has been developed, the prediction rule is applied to the ...
Decomposing Complex Clinical Phenotypes by Biologically Structured Microarray Analysis Claudio Lottaz and Rainer Spang Berlin Center for Genome Based Bioinformatics ...
cDNA Microarray analysis of an invasive brain tumor. OR. More answers than you can handle ... 6 EYA2 eyes absent (Drosophila) homolog 2. 4 EGR1 Early growth response 1 ...
Knowledge-based Analysis of Microarray Gene Expression Data using Support Vector Machines Michael P. S. Brown, William Noble Grundy, David Lin, Nello Cristianini ...
Bagging & Boosting. Two main methods for generating perturbed versions of the learning set. ... Note that when d=0, CPD reduces to standard bagging. ...
University of Colorado Health Sciences Center. Microarray Time Course Experimental Design and Analysis ... the relationship between these effects across ...
Genes in rows, samples in columns, DNA/RNA type. Selection of information ... State-of-the-art methods. 1. FCBF, Fast Correlation-Based Filter (Yu & Liu 2003) ...
Up to now, primarily used to discovery dependencies among genes, not to ... Many of the most predictive genes line up with expectations of domain experts. ...
Schena et. al Goals To detect the expression of thousands of genes simultaneously Gene expression studies ... human T) cells - Array contains 10 Arabidopsis ...