Phase4: automatic evaluation of database search methods.
It has become standard to evaluate newly devised database search methods in terms of sensitivity and selectivity and to compare them with existing methods. This involves the construction of a suitable evaluation scenario, the execution of the methods, the assessment of their performances, and the presentation of the results. Each of these four phases and their smooth connection usually imposes formidable work. To relieve the evaluator of this burden, a system has been designed with which evaluations can be effected rapidly. It is implemented in the programming language Python whose object-oriented features are used to offer a great flexibility in changing the evaluation design. A graphical user interface is provided which offers the usual amenities such as radio- and checkbuttons or file browsing facilities.
Rehmsmeier
Marc
M
International NRW Graduate School in Bioinformatics and Genome Research, Bielefeld University, Germany. marc@techfak.uni-bielefeld.de
D003627:Data Interpretation, Statistical; D003628:Database Management Systems; D019992:Databases as Topic; D016208:Databases, Factual; D005069:Evaluation Studies as Topic; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D011381:Programming Languages; D012372:ROC Curve; D015203:Reproducibility of Results; D012984:Software; D014584:User-Computer Interface