Extended Data Fig. 3: Hierarchical co-clustering of 8 features extracted from tumor cell nuclei. | Nature Cancer

Extended Data Fig. 3: Hierarchical co-clustering of 8 features extracted from tumor cell nuclei.

From: The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adenocarcinoma patients

Extended Data Fig. 3

Cluster labels correspond to those in Fig. 4c. Cluster #1 represents patients homogeneous for their clinical outcome (all deceased) and multi-omic features. Cluster #2 represents a heterogeneous population with regards to clinical outcome while cluster #3 represents a more homogenous population compared to cluster #2. Notably, in cluster #3, patients noted to be alive at the time of analysis were strongly predicted to be deceased by the model.

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