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UniBic: Sequential row-based biclustering algorithm for analysis of gene expression data
Biclustering algorithms, which aim to provide an effective and efficient way to analyze gene expression data by finding a group of genes with trend-preserving expression patterns under certain conditions, have been widely developed since Morgan et al. pioneered a work about partitioning a data matri...
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| Vydáno v: | Sci Rep |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4802312/ https://ncbi.nlm.nih.gov/pubmed/27001340 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep23466 |
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