Extended Data Fig. 8: Effects of label poisoning on BIONIC semi-supervised and unsupervised performance.
From: BIONIC: biological network integration using convolutions

Semi-supervised BIONIC comparisons. a) A label poisoning experiment, where progressively more permutation noise is added to the label sets the semi-supervised BIONIC is trained on. ‘Noise’ indicates the proportion of permutation noise applied (multiply by 100 for percentages). Data are presented as mean values. Bars indicate 95% confidence interval for n = 10 independent samples. b) UMAP plots comparing the embedding space of the TFIID complex and the 100 nearest neighbors of this complex for unsupervised and semi-supervised BIONIC over a range of label noise values. SS = average silhouette score of TFIID members.