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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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Bibliografske podrobnosti
izdano v:Sci Rep
Main Authors: Wang, Zhenjia, Li, Guojun, Robinson, Robert W., Huang, Xiuzhen
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group 2016
Teme:
Online dostop: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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