TRIQ: a new method to evaluate triclusters.

David Gutiérrez-AvilésRaúl GiráldezFrancisco Javier Gil-CumbrerasCristina Rubio-Escudero

Published in: BioData mining (2018)

TRIQ has successfully provided the same results as a the three single evaluation measures. Furthermore, we have applied TRIQ to results from another algorithm, OPTRicluster, and we have shown how TRIQ has been a valid tool to compare results from different algorithms in a quantitative straightforward manner. Therefore, it appears as a valid measure to represent and summarize the quality of tricluster solutions. It is also feasible for evaluation of non biological triclusters, due to the parametrization of each component of TRIQ.

Keyphrases

machine learning
deep learning
high resolution
quality improvement
mass spectrometry