Table 1.
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.