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EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery

MOTIVATION: Biclustering algorithms are commonly used for gene expression data analysis. However, accurate identification of meaningful structures is very challenging and state-of-the-art methods are incapable of discovering with high accuracy different patterns of high biological relevance. RESULTS...

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Publicado en:Bioinformatics
Autores principales: Orzechowski, Patryk, Sipper, Moshe, Huang, Xiuzhen, Moore, Jason H
Formato: Artigo
Lenguaje:Inglês
Publicado: Oxford University Press 2018
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6198864/
https://ncbi.nlm.nih.gov/pubmed/29790909
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty401
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