2017-11-082017-11-082014Gutiérrez Avilés, D. y Rubio Escudero, C. (2014). LSL: A new measure to evaluate triclusters. En BIBM 2014: IEEE International Conference on Bioinformatics and Biomedicine (30-37), Belfast, UK: IEEE Computer Society.978-1-4799-5669-2http://hdl.handle.net/11441/65782Microarray technology has led to a great advance in biological studies due to its ability to monitorize the RNA levels of a vast amount of genes under certain experimental conditions. The use of computational techniques to mine hidden knowledge from these data is of great interest in research fields such as Data Mining and Bioinformatics. Finding patterns of genetic behavior not only taking into account the experimental conditions but also the time condition is a very challenging task nowadays. Clustering, biclustering and novel triclustering techniques offer a very suitable framework to solve the suggested problem. In this work we present LSL, a measure to evaluate the quality of triclusters found in 3D data.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/TriclusteringLeast square lineGenetic algorithmsMicroarray dataBehavior patternsinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess10.1109/BIBM.2014.6999244