Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Quantitative experimental data is the critical bottleneck in the modeling of dynamic cellular processes in systems biology. Here,  present statistical approaches improving reproducibility of protein quantification by immunoprecipitation and immunoblotting.#R##N##R##N#Results: Based on a large data set with more than 3600 data points,  unravel that the main sources of biological variability and experimental noise are multiplicative and log-normally distributed. Therefore,  suggest a log-transformation of the data to obtain additive normally distributed noise. After this transformation, common statistical procedures can be applied to analyze the data.#R##N##R##N#An error model is introduced to account for technical as ll as biological variability. Elimination of these systematic errors decrease variability of measurements and allow for a more precise estimation of underlying dynamics of protein concentrations in cellular signaling.#R##N##R##N#The proposed error model is relevant for simulation studies, parameter estimation and model selection, basic tools of systems biology.#R##N##R##N#Availability: Matlab and R code is available from the authors on request. The data can be downloaded from our bsite www.fdm.uni-freiburg.de/~ckreutz/data.#R##N##R##N#Contact: ckreutz@fdm.uni-freiburg.de
['Clemens Kreutz', 'M. M. Bartolome Rodriguez', 'Thomas Maiwald', 'Maximilian Seidl', 'Hubert E. Blum', 'L. Mohr', 'Jens Timmer']
I am writing a research paper on a idea An error model for protein quantification
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