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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...
Autores principales: | Wang, Zhenjia, Li, Guojun, Robinson, Robert W., Huang, Xiuzhen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802312/ https://www.ncbi.nlm.nih.gov/pubmed/27001340 http://dx.doi.org/10.1038/srep23466 |
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