An article published in GenomeBiology discusses SHAP: the local explanation technique of gut microbiome data analyses for more personalized colorectal cancer biomarker identification.
Waterfall plots of local explanations that correspond to four CRC subjects. At the bottom part of each plot, we can see the base value which represents the expected value of the CRC class . All SHAP values in each local explanation sum up to the predicted CRC probability of each subject Each explanation consists of SHAP values that represent the contribution of every feature to a prediction made by the classifier.
The-axis position of the dot quantifies the impact that a bacterial species has on the classifier prediction for a specific person. The colors represent the original feature values where blue and red correspond to low and high abundance, respectively. The figure shows that for the top 9 bacteria, most dots with high relative abundance are located on the positive side of the-axis. This means that a high abundance of these bacteria is associated with a higher probability of CRC.
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