The main method we applied is the speed index functions and principle of linear superposition.
To illustrate our method, we applied it to IgG glycan data from two cohorts.
The method we applied is a 10-fold Newton iteration and the error here is about 10−10.
To evaluate our proposed authentication DFM method, we applied this method on the same five data sets as used above.
Coupled with the clustering method, we applied EXAMINE to rat central nervous system development (CNS) data with 112 genes.
To evaluate the precision and stability of the calibration method, we applied the method to other five photographs for different city light conditions.
The retrospective calculation of EDWIN scores introduces potential error, although we believe that the uniform calculation method we applied is unlikely to introduce significant bias.
To evaluate our proposed user behavior analysis method, we applied this method to the sets of retweeted tweets and followers' tweets from the different period.
In the proposed method, we applied 'spatial similarity' to eliminate potential background pixels using a window processing operation (size of window = w).
For generating an attenuation correction map by the emission-based method, we applied an edge detection technique [8] which is implemented in the scanner software [9].
Although the method we applied originated from studies of infectious diseases, it is unknown whether Farr's Law applies to epidemics of a non-infectious origin.
