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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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Bibliografski detalji
Izdano u:BMC Bioinformatics
Glavni autori: González-Calabozo, Jose M, Valverde-Albacete, Francisco J, Peláez-Moreno, Carmen
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2016
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5024470/
https://ncbi.nlm.nih.gov/pubmed/27628041
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1234-z
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