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. 2022 Aug 2;38(18):4344–4351. doi: 10.1093/bioinformatics/btac493

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© The Author(s) 2022. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Fig. 4. — PNMTF identifies genes implicated in cancer. From left to right, we present the MCC scores for predicting cancer-related genes using PNMTF based on graphlet adjacencies ${\tilde{A}}_{G_{1}}$ and ${\tilde{A}}_{G_{1}}$ (x-axis) using different NMTF-scores (color coded, see legend), and compare against the state of the art (far right)