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Utilization of gene ontology in semi-supervised clustering
2011
2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Semi-supervised clustering incorporating biological relevance as a prior knowledge has been favoured over the past decade. However, selection of prior knowledge has been a challenge. We generate prior knowledge from GO terms at different levels of GO hierarchy and use them to study their impact on the performance of subsequent clustering of microarray data by using MPCKMeans and GOFuzzy. We evaluate the performance by F-measure and the number of specific GO terms and transcription factors. The
doi:10.1109/cibcb.2011.5948467
dblp:conf/cibcb/DoanWP11
fatcat:zyf3ap55vbcshdarkbjsyrmasy