Ontology highlight
ABSTRACT:
SUBMITTER: Liao B
PROVIDER: S-EPMC3951281 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Liao Bo B Li Yun Y Jiang Yan Y Cai Lijun L
PloS one 20140312 3
Time-course gene expression datasets, which record continuous biological processes of genes, have recently been used to predict gene function. However, only few positive genes can be obtained from annotation databases, such as gene ontology (GO). To obtain more useful information and effectively predict gene function, gene annotations are clustered together to form a learnable and effective learning system. In this paper, we propose a novel multi-instance hierarchical clustering (MIHC) method to ...[more]