A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Association rule mining of gene ontology annotation terms for SGD
2015
2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Gene Ontology is one of the largest bioinformatics project that seeks to consolidate knowledge about genes through annotation of terms to three ontologies. In this work, we present a technique to find association relationships in the annotation terms for the Saccharomyces cerevisiae (SGD) genome. We first present a normalization algorithm to ensure that the annotation terms have a similar level of specificity. Association rule mining algorithms are used to find significant and non-trivial
doi:10.1109/cibcb.2015.7300289
dblp:conf/cibcb/NagarHA15
fatcat:3qdgp2nzyjebffgxymonp7amou