Before revision:  Finally, when applied to fine-grained species identification , NE outperforms alternative approaches by a significant margin. Taken together, our results indicate that NE is widely applicable for denoising weighted biological networks, especially when they contain high levels of noise .
After revision:  Finally, when applied to fine-grained identification accuracy of species. Our results indicate that NE is widely applicable for denoising weighted biological networks, especially when they contain high levels of noise .