Area Under the Curve (AUC)

Figure 6 Multiple peptide panels are effective at discriminating groups. ROC plots show improved performance when going from one to five to 10 peptides. Displayed are curves (left) representing true-positive (.v-axis) and false-positive (y-axis) ratios and the area under the curve (AUC; right column) for single-peptide (top), five-peptide (middle) and 10-peptide panels (bottom). In the case of multiple-peptide analysis, peptides were chosen randomly from the population of differentially expressed peptides. The optimal AUC for discriminating groups is a value of 1. This was best achieved as the panel size increased. (See insert for color reproduction of the figure.)

disease biomarkers that can be discovered using mass spectrometry-based protein expression profiling.

Project Management Made Easy

Project Management Made Easy

What you need to know about… Project Management Made Easy! Project management consists of more than just a large building project and can encompass small projects as well. No matter what the size of your project, you need to have some sort of project management. How you manage your project has everything to do with its outcome.

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