For instance, support vector machine-based (SVM) algorithms have been used experimentally to classify patients with Alzheimer's disease [ 25– 27], autism [ 28], schizophrenia and depression [ 29– 31].
The five value classes of kinetic parameters may correspond to varying strengths of enzymatic reactions that can be measured and classified experimentally.
For the purpose of this evaluation we broadly classified experimentally validated datasets into two categories, one that originated from Arabidopsis ('Arabidopsis dataset') and the other that were obtained from species other than Arabidopsis ('non-Arabidopsis dataset').
A commonality between both types of metastatic dormancy is that when studying metastasis experimentally, cell lines are classified as metastatic due to their ability to proliferate shortly after arrival in a secondary tissue.
Based on these protein profiles, the experimentally infected pigs could be classified according to their infectious disease status.
In summary, from comparison to HTS data, 10 out of 71 (14.1%) drugs from Lm254 that were experimentally evaluated via HTS were classified to be potential antileishmanial hits.
Of these, 11 correspond to functionally well characterized ncRNAs, 12 were previously identified in other α-proteobacteria but are as yet uncharacterized and 66 were computationally predicted earlier but had not been experimentally identified and were therefore classified as novel ncRNAs.
The experimentally observed cone-like microprotrusions are classified and possible mechanisms responsible for the growth of such formations with dimensions in the range 1 100 μm are discussed.
