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Table 3 Average performance of inference methods across the MeSH trees

From: Towards a more molecular taxonomy of disease

Method

EC (± stdev)

AC (± stdev)

AP (± stdev)

AR (± stdev)

F (± stdev)

Parent Promotion

0.13 (±0.06)

0.30 (±0.10)

0.46 (±0.16)

0.47 (± 0.14)

0.47 (±0.15)

CliXO

0.12 (± 0.10)

0.22 (± 0.12)

0.30 (± 0.14)

0.38 (± 0.17)

0.33 (± 0.15)

MWST

0.07 (± 0.04)

0.11 (± 0.07)

0.13 (± 0.08)

0.48 (±0.18)

0.21 (± 0.11)

  1. Average Edge Correctness (EC), Ancestor Correctness (AC), Ancestor Precision (AP), Ancestor Recall (AR) and F-score across the different trees in the MeSH forest. Standard deviation is shown in parentheses. Best performance across different inference techniques is highlighted in italic
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Journal of Biomedical Semantics

ISSN: 2041-1480