Before revision:  Results: We address these limitations by: 1) exploiting well-established graphlet measures via a new network approach for protein classification , 2) introducing novel normalized graphlet measures to remove the bias of PSN size, 3) allowing for integrating multiple PSN measures, and 4) using ordered graphlets to combine the complementary ideas of PSN data and sequence data.
After revision:  Results: We address these limitations by: 1) exploiting well-established graphlet measures via a new network approach , 2) introducing novel normalized graphlet measures to remove the bias of PSN size, 3) allowing for integrating multiple PSN measures, and 4) using ordered graphlets to combine the complementary ideas of PSN data and sequence data.