GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms.
Yi-Wei LiuTz-Wei HsuChe-Yu ChangWen-Hung LiaoJia-Ming ChangPublished in: BMC bioinformatics (2020)
We have developed a novel and effective strategy to incorporate a training procedure into the k-nearest neighbor algorithm (instance-based learning) which is capable of solving the Gene Ontology multiple-label prediction problem, which is especially notable given the thousands of Gene Ontology terms.