However, for HER2 (R = 0.22, P = 0.21) and Basal (R = 0.24, P = 0.061) subtypes, the correlation did not reach statistical significance ( S9 Fig ).
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Predicting breast cancer prognosis based on a novel pathomics model through CHEK1 expression analysis using machine learning algorithms.
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The correlation test yielded a t-value of 14.571 with 789 degrees of freedom and a p-value less than 2.2e-16, indicating that the correlation is statistically highly significant.