Mining Association Rules from Signals found in Mammalian Promoter Sequences
Gen Shibayama, Kenji Satou, Toshihisa Takagi · 1995
To nd associations among large amount of genome data, we implemented a data mining algorithm developed by Houtsma et al. As the result of a computer experiment about signals found in mammalian promoter sequences, the system generated association rules with high accuracy and large coverage.