TopoICSim: a new semantic similarity measure based on gene ontology

@inproceedings{Ehsani2016TopoICSimAN,
  title={TopoICSim: a new semantic similarity measure based on gene ontology},
  author={Rezvan Ehsani and Finn Drabl\os},
  booktitle={BMC Bioinformatics},
  year={2016}
}
The Gene Ontology (GO) is a dynamic, controlled vocabulary that describes the cellular function of genes and proteins according to tree major categories: biological process, molecular function and cellular component. It has become widely used in many bioinformatics applications for annotating genes and measuring their semantic similarity, rather than their sequence similarity. Generally speaking, semantic similarity measures involve the GO tree topology, information content of GO terms, or a… CONTINUE READING
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