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Fig. 4 | BMC Genomics

Fig. 4

From: Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses

Fig. 4

Multiple factor analysis projection plot at T0 in an independent cohort of 13 animals. a The different “omics” data sets are connected by lines where the length of the line is proportional to the divergence between the data from a same animal. Lines are joined by a common point, representing the reference structure, which maximizes covariance derived from the MFA synthetic analysis; b Summarization of the concordance between “omics” data set on the space; c “Omics” data sets are shown in the different dimensions while showing the contribution of each eigenvalue to the total variance; d Boxplot of the expression of the molecules having high weights (|r2| > 0.80) on the PC1 of MFA; e Boxplot of the expression of genes having high weights (|r2| > 0.90) on the PC2 of MFA. In all cases, animals that finished the endurance competition in the validation set were colored in cyan color, whereas animals in the validation set that were disqualified during the endurance competition were colored in dark red color. Additionally, to ensure that expression levels of the animals in the validation set that finished the endurance competition (n = 3) were similar to those of the experimental set that finished the endurance competition (n = 10), for each molecule, expression levels of animals from experimental set (dark green color) were also plotted. *, ** denote statistical significance at the 0.10 and 0.05 level respectively

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