Generalization of large margin classification methods from the binary classification setting to the more general multicategory setting is often found to be non-trivial.
In this commentary it has been noted that, when ligand features are represented by a string of binary numbers, one must end up with a linear model for describing the dependency (if any) between the chemical structure of a ligand and its bioactivity of interest albeit in a classification setting.
She began competing at the international level in 2010 with an SM10 classification, setting world records in the process (one of which she broke again in qualifying for the 2012 Paralympics).
In the context of clinical relevance, Shigella and non-pathogenic E. coli pathogroups were included into this classification setting.
From Figure 8, it can be seen that method M1 achieved best performance compared to other methods in a multilabel classification setting at different training data ratios.
It is important to note that the above methods offer an insight into the huge number of existing ways to identify informative or significant gene-sets but offer no means of translating these significant features into a classification setting.
