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- W2744482004 abstract "Inferring the network structure from time series datais a hard problem, especially if the time series is short and noisy.DNA microarray is a technology allowing to monitor the mRNAconcentration of thousands of genes simultaneously that producesdata of these characteristics. In this study we try to investigate theinfluence of the experimental design on the quality of the result.More precisely, we investigate the influence of two different types ofrandom single gene perturbations on the inference of genetic networksfrom time series data. To obtain an objective quality measure forthis influence we simulate gene expression values with a biologicallyplausible model of a known network structure. Within this frameworkwe study the influence of single gene knock-outs in opposite tolinearly controlled expression for single genes on the quality of theinfered network structure." @default.
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- W2744482004 date "2005-12-01" @default.
- W2744482004 modified "2023-09-27" @default.
- W2744482004 title "First Studies of the Influence of Single Gene Perturbations on the Inference of Genetic Networks" @default.
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