Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing
Fig 7
Average running times of REMAP using a single core node with 2.88 GB of memory. All running times are in seconds.
(A) Average running times on the ZINC dataset (12,384 chemicals and 3,500 proteins) according to the low-rank (r). The linear fit with R2 = 0.9856 (orange line). (B) Average running times according to the number of proteins (columns) from 1,000 to 20,000. The number of chemicals (rows) were fixed to 200,000. Error bars represent s.e.m., with n ≥ 15 for (A) and n ≥ 30 for (B).