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. 2023 Dec 5;120(50):e2304074120. doi: 10.1073/pnas.2304074120

Fig. 5.

Fig. 5.

Shapley value analysis suggests differential contribution of individual AS event biomarkers to LSTM model performance. (A) Shapley values were derived for 29 common biomarker AS events—for each mouse in PAE, PAE-control, OMD, and OMD-control—to assess relative contribution of each biomarker AS event to the LSTM model’s ability in accurately predicting learner type. Tornado plot displays distribution of all Shapley values. Red and green circles represent Shapley values in slow and fast learners respectively. Biomarker AS events are arranged in descending order of their Shapley value sum from all samples. (B) Pearson correlation of Shapley values of AS events from all samples identified four distinct clusters: clusters I and III for B cell AS events and clusters II and IV for T cell AS events. Shapley values for AS events in each cluster were positively correlated with that of other AS events in the same cluster (reddish cells). There was a strong negative correlation between Shapley values for AS events of the same cell type but belonging to different clusters (cluster I and III, cluster II and IV) (blueish cells). Shapley values for AS event clusters of different cell types showed no strong correlation (whitish cells).

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