Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

You are viewing the site in preview mode

Skip to main content
Fig. 7 | Annals of Clinical Microbiology and Antimicrobials

Fig. 7

From: Polyp and tumor microenvironment reprogramming in colorectal cancer: insights from mucosal bacteriome and metabolite crosstalk

Fig. 7

Correlation heatmap of colorectal bacteriome metabolome using Distance correlation test as similarity method. 10% of reads were removed as variance filter based on inter-quartile range, reads with counts less than 4 were also removed as abundance filter. Data scaled via autoscaling as normalization. Different studied groups were used as primary metadata (fixed effects). Age, BMI, and sex of the participants were used as covariates and accounted for in the statistics extracted for the primary metadata. MaAsLine2 is used for microbiome comparison analysis and Limma is used for metabolomics data. Features with a p-value less than 0.01 were considered significant. Significant correlations are highlighted with asterisks. The correlation threshold was set to more than 0.35. The color indicates the correlation calculated by the distance test as a similarity method. Comparisons were done between the healthy (H) vs. adenomatous polyp (AP) group (A), and the H vs. cancer tumor (CT) group (B) at the species taxonomic level with their identified metabolites according to their relative abundances

Back to article page