Interactive knowledge discovery and data mining on genomic expression data with numeric formal concept analysis

BACKGROUND: Gene Expression Data (GED) analysis poses a great challenge to the scientific community that can be framed into the Knowledge Discovery in Databases (KDD) and Data Mining (DM) paradigm. Biclustering has emerged as the machine learning method of choice to solve this task, but its unsuperv...

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Detalles Bibliográficos
Autores principales: González-Calabozo, Jose M, Valverde-Albacete, Francisco J, Peláez-Moreno, Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024470/
https://www.ncbi.nlm.nih.gov/pubmed/27628041
http://dx.doi.org/10.1186/s12859-016-1234-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024470/
https://www.ncbi.nlm.nih.gov/pubmed/27628041
http://dx.doi.org/10.1186/s12859-016-1234-z

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