Fig. 1.
The workflow of GOExtender. First, candidate parent terms T are selected. Second, an edge based matrix M is generated using biological network G and T. Third, all the connected maximal submatrices of M are identified and are saved in Mc. Finally, new GO terms are predicted from Mc by adopting a graph clustering algorithm

The workflow of GOExtender. First, candidate parent terms T are selected. Second, an edge based matrix M is generated using biological network G and T. Third, all the connected maximal submatrices of M are identified and are saved in Mc. Finally, new GO terms are predicted from Mc by adopting a graph clustering algorithm

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