An error model for protein quantification
| Autor: | Jens Timmer, Leonhard Mohr, Clemens Kreutz, M. Seidl, Thomas Maiwald, Hubert E. Blum, M.M. Bartolome Rodriguez |
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| Rok vydání: | 2007 |
| Předmět: |
Statistics and Probability
Systematic error Computer science Immunoblotting computer.software_genre Models Biological Sensitivity and Specificity Biochemistry Bottleneck Statistics Immunoprecipitation Computer Simulation Molecular Biology Models Statistical Estimation theory Gene Expression Profiling Model selection Proteins Reproducibility of Results Experimental data Computer Science Applications Data set Computational Mathematics Noise Data point Computational Theory and Mathematics Data Interpretation Statistical Data mining computer Algorithms |
| Zdroj: | Bioinformatics. 23:2747-2753 |
| ISSN: | 1367-4811 1367-4803 |
| Popis: | Motivation: Quantitative experimental data is the critical bottleneck in the modeling of dynamic cellular processes in systems biology. Here, we present statistical approaches improving reproducibility of protein quantification by immunoprecipitation and immunoblotting.Results: Based on a large data set with more than 3600 data points, we unravel that the main sources of biological variability and experimental noise are multiplicative and log-normally distributed. Therefore, we 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.An error model is introduced to account for technical as well 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.The proposed error model is relevant for simulation studies, parameter estimation and model selection, basic tools of systems biology.Availability: Matlab and R code is available from the authors on request. The data can be downloaded from our website www.fdm.uni-freiburg.de/∼ckreutz/data.Contact: ckreutz@fdm.uni-freiburg.de |
| Databáze: | OpenAIRE |
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