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Fig. 2 | BMC Pharmacology and Toxicology

Fig. 2

From: Elucidating the role of FBXW4 in osteoporosis: integrating bioinformatics and machine learning for advanced insight

Fig. 2

Principal component analysis. a, b Analysis of PCA. This means that our analysis can divide the samples into two groups well, and there will be no large bias in the results due to most of the data overlap. That is, our results are stable and credible. c Heatmap. Red represents high expression and blue represents low expression. That is, the darker the red, the more enriched the expression in this group. d Volcano map. logFC was used as the dividing line for calculation. Red indicates high expression and green indicates low expression. The figure shows that: Some of these DEGs were significantly up-regulated (FOS, FTH1, HIST1H2AC, ITM2B, NRGN, SRGN, etc). However, some genes were significantly down-regulated (TLR4, TMEM39B, FZD2, NUP54, MMRN1, FBXW4, SLC25A32, etc)

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BMC Pharmacology and Toxicology

ISSN: 2050-6511

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