Among the several available methods, DNA-DNA hybridization (DDH) and 16S rRNA gene based classification have been the key methods for the identification and taxonomic assignments of bacterial species [ 2].
The main objective of this subtype-based classification has been to identify patients with low or no tumor burden in the axillary lymph node and a relatively indolent disease, who could be spared from adjuvant cytotoxic treatment [ 28].
Among such algorithms, SVM and RF are the predominant statistical methods and comparison of these algorithms for microarray-based classification has been reported (Wu et al, 2003; Diaz-Uriarte and Alvarez de Andres, 2006; Statnikov et al, 2008; Kim et al, 2009).
Across many groups of animals, morphology-based classifications have been frequently revised based on new molecular phylogenies by identifying previously undetected homoplastic evolution of morphological characters (e.g. in the flatworm family Capsalidae [ 12], the genus Dracus [ 13], the lanternfly family Fulgoridae [ 14], or in Brazilian worm lizards [ 15]).
Moreover, two empirical ground classifications have been suggested, based on many case histories, for separately defining ground condition in soft rocks and hard rocks.
Furthermore the outcome prediction in MM, based only on histological classification, has been revealed to be error prone and ineffective for patients [71].
