The Combined Correctness metric

Combined Correctness is the name of a metric for quality control of data from 2D gel image analysis. Combined Correctness is expressed as a precentage score, that allows us to draw statistically relevant conclusions about how good the 2D gel image analysis really is.

It can be interpreted as the likelihood that a randomly chosen true protein spot in one of the gels in the experiment is correctly detected and matched (to a corresponding true spot in another gel image) according to visual criteria.

Thus, in plain language it can be interpreted as the likelihood that the data coming from this measurement is reliable.

The Combined Correctness metric is the product of spot correctness and pair matching correctness (as described on the algorithms page) and is a metric that can be applied independent of the software used to generate the data.

In short:

Spot correctness = correct spots / spots evaluated

Pair matching correctness = correct matchings / matchings evaluated

Combined Correctness = spot correctness * pair matching correctness

Read more about the definitions of Spot Correctness and Match Correctness here.

Read more about the algorithm for how to assess Spot and Match Correctness here.