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Construction and simulation of biological pathways are crucial steps in understanding complex networks of biological elements in cells. To construct simulatable models, structures of networks and chemical reactions are collected from existing literature and the values of parameters in the model are set based on the results of biological experiments or estimated based on observed data by some computational...
The objective of the present study was the analysis of microarray data from a T-cell leukemia cell line (CCRF-CEM), treated with two different prednisolone concentrations, using four different pre-processing methods, within the Matlabreg computing environment. We have compared these methods using hierarchical clustering. The gene expression patterns revealed by hierarchical clustering were used to...
G-protein-coupled receptors (GPCRs), the largest family of cell surface receptors play an important role in production of therapeutic drugs. However, the functions of many of GPCRs are unknown. Hence we develop an new method for classifying the family of GPCRs. It is difficult to predict the classification of GPCRs by means of conventional sequence alignment approaches because of their highly divergent...
We conducted gene expression profiling and pathway analysis of microarray data generated from a gefitinib versus M4-AML study. Our findings indicate that a therapeutic reduction of the human v-Myc oncoprotein correlated to molecular reversal of cell transformation within 24 hours of treatment. We analyzed the known efficacies of gefitinib and were able to identify bona fide gefitinib targets in the...
The combined assessment of data obtained by positron emission tomography (PET) and gene array techniques provide new capabilities for the interpretation of kinetic tracer studies. The correlative analysis of the data helps to detect dependencies of the kinetics of radiotracer on gene expression. Furthermore, gene expression may be predicted using regression functions if a significant correlation exists,...
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