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Area Under the Curve (AUC)

Chapter 5, 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 l.This was best achieved as the panel size increased.

Chapter 8, Figure 3 Quality assessment for protein expression. Images of whole Vv proteome microarray probed with mAb against polyhistidine (A) and hemoagglutinin tags (B). 99.0% of Vv proteins were reactive to antipolyhistidine antibody and 88.2% to antihemoagglutinin antibody. The images show four dilutions of human IgG (yellow box), positive controls (green box), and six negative controls (mock transcription/ translation reaction) (red circles). The remaining spots are Vv proteins.

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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