Background: Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously re...
Jaehee Jung, Gangman Yi, Serenella A. Sukno, Micha...
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Differences in within-species phenology and structure driven by factors including topography, edaphic properties, and climatic variables present important challenges for species d...
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Graphs are a common means to represent structures in models and meta-models of software systems. In this context, the description of model domains by classifying the domain entitie...