G-Tric: generating three-way synthetic datasets with triclustering solutions

Abstract Background Three-way data started to gain popularity due to their increasing capacity to describe inherently multivariate and temporal events, such as biological responses, social interactions along time, urban dynamics, or complex geophysical phenomena. Triclustering, subspace clustering o...

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Bibliographic Details
Main Authors: João Lobo, Rui Henriques, Sara C. Madeira
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-020-03925-4