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...
| Main Authors: | , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2016
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802312/ |