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. 2020 Apr 8;11:275. doi: 10.3389/fphys.2020.00275

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Copyright © 2020 Dang, Taheri, Das, Ghosh, Prince and Sahoo.

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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Computational approach to identifying candidate universal macrophage biomarker. (A) BooleanNet Statistical test to identify Boolean Implication relationship between gene A and B. Boolean equivalent relationship is found when both a₀₁ and a₁₀ is sparse. (B) A flow chart of the different steps of BECC (Boolean Equivalence Correlated Clusters) to identify robust macrophage biomarker. (C) Overview of BECC illustrating input data, building networks, ranking and filtering that finally selected 13 genes.