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Fig. 8 | Acta Neuropathologica Communications

Fig. 8

From: Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data

Fig. 8

Subgroup phenotype analysis between samples residing in each cluster for KCL BrainBank and TargetALS. Variables visualised here include the age of death for (A) KCL BrainBank and (B) TargetALS, and transcriptional age acceleration for (C) KCL BrainBank and (D) TargetALS. P-values are from performing one-way ANCOVA, corrected for sex. (E) Cox proportional hazards model for the age of onset of samples from both BrainBank and TargetALS datasets, showing that samples from Cluster 1 have a significantly lower age of onset than Clusters 2 and 3

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