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However, there was no statistical correlation between PTP4A3/PRL-3 expression and E-cadherin expression on the basis of the training sets analysis (Supplementary Fig. S1).
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The training set analysis was repeated four times.
A total of 2,222 patients were included in the training set analysis.
A separate researcher who did not participate in the training set analysis performs the re-testing on the validation set.
After excluding these seven variants from the gene-specific training set, analysis using the Consensus framework was repeated.
Presence of MCs did not achieve statistical significance (P = 0.128) but retained a similar HR = 0.846, 95% CI 0.683 1.049 as in the training set analysis.
We also did not find a statistically significant prognostic effects of MCs in the node-negative group in the training set analysis.
An important observation in the combined analysis of training sets and case profiles was the generally close match of each sample's classification likelihood and their STRUCTURE cluster plot patterns indicating that each approach can aid interpretation by revealing different perspectives of the same Bayesian assessment of individual ancestry.
Furthermore, they were shown in the repetitive analysis of training sets as well as in the blind test set, which suggested that those unidentified molecules should be authentic components of human serum.
We estimated α and β coefficients using the test set lesions group, the subset of features retained by feature selection methods, and the optimised classifiers obtained by training data set analysis and evaluating the accuracy of the MCS.
Furthermore, based on the analysis of problems brought by the over-scaled training set and the oversized dimension of eigenvector, this section raised a strategy which horizontally and vertically grouped the training sets, made analysis on vanishing components respectively, and classified the union of vanishing component in each group.
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