Histogram of the number of classifiers, out of the 25 under consideration, that disagreed with the clinical diagnosis attributed to the samples, when performing on the training set using the proposed 5 feature and 5 meta-feature signature.

<p>Samples with no such disagreement are omitted. Interestingly, many classifiers consistently disagree with the clinical diagnosis on the same samples, which hints for the questioning of their usefulness in the training set to distinguish between AD and NDC. One of the reasons for that is that the cell signalling could be altered by other medical conditions, such as other diseases and use of medication. Using an arbitrarily chosen threshold of 30% of the classifiers, or 8 classifiers or more (rounded up) disagreeing with the clinical diagnosis label of a sample, it is reasonable to suspect that samples s3, s7, s47, s66 and s77 are not suitable to be part of the training set. The signature used for this experiment includes the following features and meta-features: EGF, IL-1, IL-3, TNF-, G-CSF, “BLC-RANTES”, “MIP-1d-IL-11”, “TNF- - ANG-2”, “TNF- - FAS” and “IL-11-I-TAC”.