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A time-series biclustering algorithm for revealing co-regulated genes
2005
International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II
Although existing bicluster algorithms claimed to be able to discover co-regulated genes under a subset of given experiment conditions, they ignore the inherent sequential relationship between crucial time points and thus are not applicable to analyze time-series gene expression data. A simple and effective deletion-based algorithm, using the mean squared residue score as a measure, was developed to bicluster time-series gene expression data. While enforcing a threshold value for the score, the
doi:10.1109/itcc.2005.46
dblp:conf/itcc/ZhangZC05
fatcat:7xtzsioinreuxihzztun45acj4