The methods tested against include a canonical correlation analysis approach and a manifold regularization approach, which is considered the baseline method.
While a number of performance comparisons were made, one result was that the baseline method - simple Cox regression on clinical features – outperforms most methods across most conditions, even when they include the use of the molecular data.
Red line is the baseline information estimated by our method.
Where h 0 y) is the baseline hazard, estimated using the Breslow method.
This is because the baseline methods only have a limited view of the network.
These values should be compared with the baseline method which is to use the average Δr G○ of each reaction in NIST-TECR across all its measurements.
But it is worth mentioning, that the slope averaged over all subjects with the proposed method was −0.06±0.62, while it was −0.32±0.61 for the baseline method without covariate shift adaption.
PWM was used as the baseline method.
The alternative hypothesis is that the means of the RMSE and MAE of the baseline method is greater than those of our weighted fitting method.
