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. 2022 Feb 19;23:78. doi: 10.1186/s12859-022-04598-x

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Visualizations of results: modified breadth-first search (BFS) coverage and predictions. Coverage of network representing an example truncated human protein–protein interaction (PPI) training dataset (N90) achieved by modified BFS. Node size and color intensity represent the frequency of occurrence of the given node in induced subgraphs assessed by the modified BFS (A). Human PPI network with green edges denoting the top predicted interactions to complete the truncated N90 network to an N100 network (B). Only network components covered by modified BFS are shown in these representations (giant component and appropriately sized isolated components). See Additional file 2: Fig. S5 for high-resolution image of the representative initial full network with node annotation