| Multiplexed proteomics assays are a promising diagnostic modality for improving the sensitivity and specificity of disease diagnosis within the clinical laboratory. Quality control of single, quantitative analytes is currently performed using a set of well-defined rules and techniques that ensure statistical control over clinical results. However, there are fundamental difficulties in applying these rules to multiplexed measurements. We will discuss the clinical implications of these challenges, propose solutions to address the conceptual challenges provided by pattern-based diagnosis, and evaluate the lessons learned from other '-omics'-scale measurement platforms. Further, we will argue that adequate quality control for highly multiplexed proteomics assays in the clinical lab requires an expanded consideration of the fundamental influence of bioinformatic algorithm choices on diagnostic results. |
