Background: Combining multiple evidence-types from different information sources has the potential to reveal new relationships in biological systems. The integrated information ca...
Artem Lysenko, Michael Defoin-Platel, Keywan Hassa...
: The systematic assessment, storage, and retrieval of data quality scores has proven to be an elusive problem, often tackled only with classifications, questionnaires, and models....
This paper deals with methods exploiting tree-decomposition approaches for solving constraint networks. We consider here the practical efficiency of these approaches by defining fi...
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
In this paper we investigate factors of the testability of object-oriented software systems. The starting point is given by a study of the literature to obtain both an initial mod...