Fig. 5From: Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression dataPosterior probabilities of cluster assignment for the six independent expression datasets using linear discriminant analysis trained on the shared informative genes between each dataset and KCL BrainBank. The x-axis represents the average predicted posterior probability of being assigned to one of the three clusters, with the diagonals of the y-axis representing the average posterior probability of being assigned to the correct clusterBack to article page