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. 2020 Dec 4;10:602498. doi: 10.3389/fonc.2020.602498

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Copyright © 2020 Zhang, Wang, Peng, Xu, Wang and Zhao

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Identification of CRC subclasses using NMF consensus clustering. (A) A flow chart of the study. (B) NMF clustering using 115 metabolism-associated genes in training set. Cophenetic correlation coefficient for k = 2–6 is shown. (C) PCA showed the distribution of three CRC subclasses in training set. (D) Cophenetic correlation coefficient in testing set. (E) The distribution of three CRC subclasses in testing set. (F) OS of three subclasses (C1, C2, and C3) in training set. (G) OS and RFS of three subclasses in testing set. CRC, Colorectal cancer; NMF, Non-negative matrix factorization; MAD, Median absolute deviation; PCA, Principal components analysis; OS, Overall survival; RFS, Relapse free survival; DEGs, Differentially expressed genes; GO, gene ontology.