Fig. 1: Workflow of the benchmarking study.
From: Benchmarking machine learning methods for synthetic lethality prediction in cancer
A A total of 12 methods are compared, including 3 matrix factorization-based methods and 9 deep learning methods. B We collected data from different databases to build a benchmark dataset. C This study compared the performance of the models in both classification and ranking tasks. D We also designed various experimental scenarios, including different negative sampling methods, positive-negative sample ratios, and data partitioning methods. The combinations of these scenarios constitute a task space ranging from easy to difficult tasks.
