Figure 1 | Scientific Reports

Figure 1

From: A python library for the fast and scalable computation of biologically meaningful individual specific networks

Figure 1

(A) shows the time and memory usage comparison between ISN-tractor and LionessR. ISN-tractor outperforms LionessR in both benchmarks. We computed dense ISNs using the Incremental Pearson algorithm in ISN-tractor for this comparison. This approach was chosen because LionessR can only compute dense ISNs with the Pearson correlation. (B) shows the Filtration curves computed by ISN-tractor on Osteosarcoma patients with good/poor MFS, respectively in green and red. The overlap is highlighted in yellow. (C) shows the PCA obtained from SNP-array based ISNs for individuals coming from different populations from the HapMap dataset.

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