Making sound proteomic inferences using ELISA microarray assay requires both an accurate prediction of protein … constrained least squares fitting (PCLS) and Monte Carlo simulation (MC) to predict ELISA microarray protein concentrations and … least squares) method using simulated and real ELISA microarray data sets.MSMC rendered good fits in almost all tests …

Cross-validation based point estimates of prediction accuracy are frequently reported in microarray class prediction … outperforms the other methods in microarray applications with small to moderate sample sizes. …

A challenge in microarray data analysis concerns discovering local structures composed by sets of genes that show …

values. Consequences of this for the high dimensional data such as microarray data are pointed out.  …

varieties. The designs are of particular use in the microarray situation. Such designs are known as 'augmented designs'. This …

of microarray technology to DNA fingerprinting as a high-resolution alternative to gel-based methods. The so …-called universal microarray, which uses short oligonucleotide probes that do not target specific genes or species, is intended to be … strains can be distinguished if enough independent oligonucleotide probes are used on the microarray, i.e., if the genome is …

-scoring pair(s) (TSP) classifier, is motivated by current technical and practical limitations in using gene expression microarray …