Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 Nov 17;3(1):130–141. doi: 10.1089/nsm.2020.0011

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© Nina Verstraete et al., 2020; Published by Mary Ann Liebert, Inc.

This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PMC Copyright notice

FIG. 3. — Top 25 over-represented GO terms, drugs, diseases, and symptoms in CovMulNet19. The 25 most over-represented GO terms (A), drugs (B), diseases (C), and symptoms (D) are ranked based on their z-scores calculated on structural strength using the bootstrap sampling procedure. The top X-axis shows z-score values and bottom X-axis shows structural degrees (nodes degrees to protein nodes). Red and blue bars depict z-scores calculated on the structural degrees and on their structural strength (i.e., degrees to proteins relatively to the total degrees to proteins from all nodes), respectively. Purple bars represent the nodes' structural degrees observed in CovMulNet19's network. Terms preceded with a (*) or (**) were significantly over-represented in CovMulNet19 compared with observed appearance in the mock random networks (p-value <0.1 and 0.05, respectively). The complete list of nodes with their associated z-scores and p-values can be accessed in the bootstrap results tables in supplementary data (Supplementary Tables S1 and S2).