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. 2016 Feb 25;141(7):2155–2164. doi: 10.1039/c6an00108d

Fig. 3. Pattern recognition – Spearman's correlation analysis showing the top 25 most correlated (positively and negatively) variables (metabolite features) with key loadings in type of beef. Each row represents the most significant variable identified from the test (p < 0.05). (A) beef with 5% fat, (B) beef with 15% fat, (C) beef with 20% fat and (D) beef with 23% fat. The x-axis shows correlation score whereas the y-axis corresponds to GC-MS peak number from peak index.

Fig. 3