WORMHOLE: Novel Least Diverged Ortholog Prediction through Machine Learning
Fig 1
Schematic representation of the WORMHOLE LDO prediction strategy.
(A) First-order features of gene pairs (e.g. sequence comparison, phylogenetic history, and functional interaction) are used by Layer 1 algorithms (B) to generate candidate LDO (cLDO) predictions, which are considered second order features (C). The second-order features are used by the WORMHOLE Layer 2 methods (voting or SVMs) (D) to select high-confidence LDOs and filter out erroneous predictions.