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An Internal Calibration Method for Protein-Array Studies

  • Don Simone Daly , Kevin K Anderson , Shannon L Seurynck-Servoss , Rachel M Gonzalez , Amanda M White and Richard C Zangar
Published/Copyright: January 27, 2010
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Statistical Applications in Genetics and Molecular Biology
From the journal Statistical Applications in Genetics and Molecular Biology Volume 9 Issue 1

Nuisance factors in a protein-array study add obfuscating variation to spot intensity measurements, diminishing the accuracy and precision of protein concentration predictions. The effects of nuisance factors may be reduced by design of experiments, and by estimating and then subtracting nuisance effects. Estimated nuisance effects also inform about the quality of the study and suggest refinements for future studies.We demonstrate a method to reduce nuisance effects by incorporating a non-interfering internal calibration in the study design and its complemental analysis of variance. We illustrate this method by applying a chip-level internal calibration in a biomarker discovery study.The variability of sample intensity estimates was reduced 16% to 92% with a median of 58%; confidence interval widths were reduced 8% to 70% with a median of 35%. Calibration diagnostics revealed processing nuisance trends potentially related to spot print order and chip location on a slide.The accuracy and precision of a protein-array study may be increased by incorporating a non-interfering internal calibration. Internal calibration modeling diagnostics improve confidence in study results and suggest process steps that may need refinement. Though developed for our protein-array studies, this internal calibration method is applicable to other targeted array-based studies.

Keywords: protein array; internal calibration
Published Online: 2010-1-27

©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston

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  3. Testing for Gene-Gene Interaction with AMMI Models
  4. A Bayesian Hierarchical Model for Quantitative Real-Time PCR Data
  5. Informative or Noninformative Calls for Gene Expression: A Latent Variable Approach
  6. Detecting Genotyping Error Using Measures of Degree of Hardy-Weinberg Disequilibrium
  7. Optimisation of HMM Topologies Enhances DNA and Protein Sequence Modelling
  8. The Apportionment of Total Genetic Variation by Categorical Analysis of Variance
  9. Dealing with Heterogeneity between Cohorts in Genomewide SNP Association Studies
  10. An Empirical Bayesian Method for Estimating Biological Networks from Temporal Microarray Data
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  16. Trilocus Disequilibrium Analysis of Multiallelic Markers in Outcrossing Populations
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  27. Classification of Genomic Sequences via Wavelet Variance and a Self-Organizing Map with an Application to Mitochondrial DNA
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  31. Granger Causality Analysis of Human Cell-Cycle Gene Expression Profiles
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  33. On the Optimal Design of Genetic Variant Discovery Studies
  34. On Optimal Selection of Summary Statistics for Approximate Bayesian Computation
  35. Assessment of LD Matrix Measures for the Analysis of Biological Pathway Association
  36. Optimal Tests Shrinking Both Means and Variances Applicable to Microarray Data Analysis
  37. The Detection of Blur in Affymetrix GeneChips
  38. Regression-Based Multi-Trait QTL Mapping Using a Structural Equation Model
  39. Spatial Clustering of Array CGH Features in Combination with Hierarchical Multiple Testing
  40. Predicting Patient Survival from Longitudinal Gene Expression
  41. Including Probe-Level Measurement Error in Robust Mixture Clustering of Replicated Microarray Gene Expression
  42. Reader's Reaction
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https://doi.org/10.2202/1544-6115.1506
Keywords for this article
protein array; internal calibration

Articles in the same Issue

  1. Article
  2. Epistatic Interactions
  3. Testing for Gene-Gene Interaction with AMMI Models
  4. A Bayesian Hierarchical Model for Quantitative Real-Time PCR Data
  5. Informative or Noninformative Calls for Gene Expression: A Latent Variable Approach
  6. Detecting Genotyping Error Using Measures of Degree of Hardy-Weinberg Disequilibrium
  7. Optimisation of HMM Topologies Enhances DNA and Protein Sequence Modelling
  8. The Apportionment of Total Genetic Variation by Categorical Analysis of Variance
  9. Dealing with Heterogeneity between Cohorts in Genomewide SNP Association Studies
  10. An Empirical Bayesian Method for Estimating Biological Networks from Temporal Microarray Data
  11. Parameter Estimation in Multiple-Hidden I.I.D. Models from Biological Multiple Alignment
  12. Asymptotic Distribution of the "Orthogonal" Quantitative Transmission Disequilibrium Test in a Structured Population: Exact Formula
  13. Comparing Spatial Maps of Human Population-Genetic Variation Using Procrustes Analysis
  14. An Internal Calibration Method for Protein-Array Studies
  15. Weighted-LASSO for Structured Network Inference from Time Course Data
  16. Trilocus Disequilibrium Analysis of Multiallelic Markers in Outcrossing Populations
  17. Sparse Partial Least Squares Classification for High Dimensional Data
  18. Reconstructability Analysis as a Tool for Identifying Gene-Gene Interactions in Studies of Human Diseases
  19. Sub-Modular Resolution Analysis by Network Mixture Models
  20. Space Oriented Rank-Based Data Integration
  21. The Generalized Odds Ratio as a Measure of Genetic Risk Effect in the Analysis and Meta-Analysis of Association Studies
  22. Network Enrichment Analysis in Complex Experiments
  23. Shrinkage Estimation of Effect Sizes as an Alternative to Hypothesis Testing Followed by Estimation in High-Dimensional Biology: Applications to Differential Gene Expression
  24. Buckley-James Boosting for Survival Analysis with High-Dimensional Biomarker Data
  25. A Random Coefficients Model for Regional Co-Expression Associated with DNA Copy Number
  26. Locating Multiple Interacting Quantitative Trait Loci with the Zero-Inflated Generalized Poisson Regression
  27. Classification of Genomic Sequences via Wavelet Variance and a Self-Organizing Map with an Application to Mitochondrial DNA
  28. Confidently Estimating the Number of DNA Replication Origins
  29. Generalizing Moving Averages for Tiling Arrays Using Combined P-Value Statistics
  30. Lasso Logistic Regression, GSoft and the Cyclic Coordinate Descent Algorithm: Application to Gene Expression Data
  31. Granger Causality Analysis of Human Cell-Cycle Gene Expression Profiles
  32. Mapping Quantitative Trait Loci in a Non-Equilibrium Population
  33. On the Optimal Design of Genetic Variant Discovery Studies
  34. On Optimal Selection of Summary Statistics for Approximate Bayesian Computation
  35. Assessment of LD Matrix Measures for the Analysis of Biological Pathway Association
  36. Optimal Tests Shrinking Both Means and Variances Applicable to Microarray Data Analysis
  37. The Detection of Blur in Affymetrix GeneChips
  38. Regression-Based Multi-Trait QTL Mapping Using a Structural Equation Model
  39. Spatial Clustering of Array CGH Features in Combination with Hierarchical Multiple Testing
  40. Predicting Patient Survival from Longitudinal Gene Expression
  41. Including Probe-Level Measurement Error in Robust Mixture Clustering of Replicated Microarray Gene Expression
  42. Reader's Reaction
  43. An Alternative Model of Type A Dependence in a Gene Set of Correlated Genes
  44. Letter to the Editor
  45. Permutation P-values Should Never Be Zero: Calculating Exact P-values When Permutations Are Randomly Drawn
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