Scatter Plot from Scientific Research

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Evaluation metrics for the effect of background noise correction on classification and clustering. For each metric the change relative to the uncorrected data is depicted. The values were scaled by the possible range of each metric. Prediction score: cell-wise score delta of reference based classification with SingleR [ 20 ]. Average silhouette: Mean of silhouette widths per cell type. Purity: Cluster purity calculated on cell type labels as ground truth and Louvain clusters as test labels. k -NN overlap: overlap of the k =50 nearest neighbors per cell compared to genotype-cleaned reference k -NN graph
#Scatter Plot#Forest Plot#Evaluation Metrics#Background Noise Correction#Classification#Clustering#Prediction Score#Average Silhouette#Cluster Purity#k-NN Overlap
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