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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| 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 |