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. 2021 Oct 27;3(4):lqab097. doi: 10.1093/nargab/lqab097

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© The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

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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Figure 5. — Examples of the GO terms identified by ParsVNN for the five cancer-specific models. (A) GO:0016236 is a GO term in the STAD-specific ParsVNN model. We study how the mutation of GO:001623 influences the survival in patients. (B) GO:0097421 is a GO term in the BRCA-specific ParsVNN model. We study how the mutation of GO:0097421 influences the survival in patients. (C) GO:0022011 is a GO term in the PAAD-specific ParsVNN model. We study how the mutation of GO:0022011 influences the survival in patients. (D) GO:0032228 is a GO term in the KICH/KIRC/KIRP-specific ParsVNN model. We study how the mutation of GO:0032228 influences the survival in patients. (E) GO:0043967 is a GO term in the LIHC-specific ParsVNN model. We study how the mutation of GO:0043967 influences the survival in patients. (F) All GO terms in the ParsVNN models lead to significantly different survival in patients (adjusted P-value <0.05) for five cancers.