Table 1

Comparison of student methods.

StudentA

StudentB

StudentC


Input Features

GO term counts

E-Values

GO term counts; percentage positives


Scoring Schemes

1

2

2


Propagation Types

maximum child

maximum child

maximum child; cumulative


Score Normalization Across Proteins

No

Yes

No


In this table, we have summarized the key differences between student methods. Input features include: the number of times a GO term appeared in the annotations of homologous proteins; the E-Values of the homologous proteins; and the percentage of 'positive' columns in their alignment matrices. Some groups used more than one way to score a GO term or differed during the propagation of a prediction by assigning a node the maximum value of its children or their sum. StudentB normalized the final score of a GO term to improve comparability among proteins.

Hamp et al. BMC Bioinformatics 2013 14(Suppl 3):S7   doi:10.1186/1471-2105-14-S3-S7

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