Extended Data Fig. 10: Machine learning of imaging mass cytometry data improves prediction of progression. | Nature

Extended Data Fig. 10: Machine learning of imaging mass cytometry data improves prediction of progression.

From: Single-cell spatial landscapes of the lung tumour immune microenvironment

Extended Data Fig. 10

Accuracy of clinical progression prediction in stage I lung adenocarcinoma patients (n = 286) in the a, clinical variables; b, cell frequency; c, lineage markers and d, “all markers” models. Comparison between baseline and the lineage marker model: * P = 0.0343. Comparison between baseline and the “all marker” model : * P = 0.0355. Mean ± SEM. Statistical analysis (a—d: two-tailed Student t-test).

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