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Different architectures of these networks are able to surpass the best result of regression analysis in training and test, providing higher correlation coefficients, regression lines with absolute values obtained from computed tomography closer to the line of identity, decreased sums of absolute and squared deviations, and higher measurement agreement.
More importantly, this signature also performs well in the prediction of novel cancer types that were not represented in the integrative analysis in training datasets.
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The established 3D-QSAR model from the comparative molecular field analysis (CoMFA) in training set shows not only significant statistical quality, but also satisfying predictive ability, with high correlation coefficient value (R2 = 0.910) and cross-validation coefficient value (q2 = 0.705).
Although the trial was not designed for sub-group analysis, specialists in training allocated to the online mode had a higher response rate (17.5%) than those allocated to the simultaneous mixed mode (13.89%), and a similar response rate to those in the sequential mixed mode (18.52%).
On univariate analysis in the training cohort using Cox's multivariate analysis (Table 2).
The cutoff point of each variable was determined by ROC curve analysis in the training set.
Table of 168 genes identified by the TreeNet analysis in the training set.
The predictors included TNM stage, ECOG-PS, Fuhrman grade, and CXCR4 expression, all of which were independent prognostic indicators for OS in multivariate analysis in the training set.
We performed microarray analysis in the training population and generated a list of 278 probe sets associated with a shorter survival.
Analysis in the training public sets showed good performance of these gene signatures for grade (sensitivity from 90% to 95%, specificity 67%to93%3%).
Table 2 gives the detailed cutoff points and outcomes for 23 immunomarkers and 7 clinicopathological variables in predicting postoperative distant organ metastasis in univariate analysis in the training cohort.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com