Modeling microarrays

Waters KM, Shankaran H, Wiley HS, Resat H, Thrall BD. Integration of microarray and proteomics data for biological pathway analysis and network modeling of epidermal growth factor signaling in human mammary epithelial cells. Keystone Symposia, 2005. 

Tan, Y. X., Shi, L. B Tong, W. D Hwang, G. T. G., Wang, C. (2004). Multiclass tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models. Compu. Biol. Chemis. 28(3), 235-244. 

Microarray data cannot be analyzed by purely brute force techniques to generate a causal model of a set of biological processes because the data represents gene expression patterns that are only correlated with temporal processes of interest in the organism. Lander (1999) comments on this problem as follows ... 

One important issue concerning fire prevention is the early detection of overheated wire insulation, a common source of smoldering fires. Therefore model experiments were performed to examine how far early indications of overheated insulation could be recognized by the gradient microarray and its simple sampling arrangement. The tests were carried out in a closed box with KAMINA placed next to a cable overheated by a current overload. The experiments were performed... 

Gene Expression Profiling in Stroke Models Using Microarrays. 389... 

---