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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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| I publikationen: | Bioinformatics |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Oxford University Press
2018
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| Ämnen: | |
| Länkar: | 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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