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. 2020 Aug 24;21(17):6079. doi: 10.3390/ijms21176079

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© 2020 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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(A) Heat map of the one-way hierarchical clustering (OVA + PM vs. OVA). (B) Distribution of gene expression level between the OVA + PM and the OVA group. (C) Scatter plot of gene expression level. (D) Significant gene count by fold change and p-value. n = 4 in each group (OVA + PM, OVA). Only those genes exhibiting log₂ fold change (FC) ≥ 1.5 and p < 0.05 were considered differentially expressed genes. For the DEG (differentially expressed gene) set, hierarchical clustering analysis was done using complete linkage and Euclidean distance as a measure of similarity.

(A) Heat map of the one-way hierarchical clustering (OVA + PM vs. OVA). (B) Distribution of gene expression level between the OVA + PM and the OVA group. (C) Scatter plot of gene expression level. (D) Significant gene count by fold change and p-value. n = 4 in each group (OVA + PM, OVA). Only those genes exhibiting log₂ fold change (FC) ≥ 1.5 and p < 0.05 were considered differentially expressed genes. For the DEG (differentially expressed gene) set, hierarchical clustering analysis was done using complete linkage and Euclidean distance as a measure of similarity.