TY - JOUR AU - Xu, Tao AU - Du, LinFang AU - Zhou, Yan PY - 2008 DA - 2008/11/06 TI - Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data JO - BMC Bioinformatics SP - 472 VL - 9 IS - 1 AB - Researchers interested in analysing the expression patterns of functionally related genes usually hope to improve the accuracy of their results beyond the boundaries of currently available experimental data. Gene ontology (GO) data provides a novel way to measure the functional relationship between gene products. Many approaches have been reported for calculating the similarities between two GO terms, known as semantic similarities. However, biologists are more interested in the relationship between gene products than in the scores linking the GO terms. To highlight the relationships among genes, recent studies have focused on functional similarities. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-9-472 DO - 10.1186/1471-2105-9-472 ID - Xu2008 ER -