TRIQ: a new method to evaluate triclusters

BACKGROUND: Triclustering has shown to be a valuable tool for the analysis of microarray data since its appearance as an improvement of classical clustering and biclustering techniques. The standard for validation of triclustering is based on three different measures: correlation, graphic similarity...

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Detalles Bibliográficos
Autores principales: Gutiérrez-Avilés, David, Giráldez, Raúl, Gil-Cumbreras, Francisco Javier, Rubio-Escudero, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091209/
https://www.ncbi.nlm.nih.gov/pubmed/30127855
http://dx.doi.org/10.1186/s13040-018-0177-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091209/
https://www.ncbi.nlm.nih.gov/pubmed/30127855
http://dx.doi.org/10.1186/s13040-018-0177-5

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