22 23 Briefly, the multiple imputations model is an approach that creates several (m >1) different imputed datasets based on other known paticipant characteristics from the whole dataset.
It seems that GLOBALTEST and PLAGE have generally comparable performances with other methods according to their performances on many preferred datasets of other methods.
Limitations on storage space and transmission bandwidth, on the other hand, and the growing size of medical image datasets, on the other, have spurred research on the design of ad hoc tools.
Selecting stable features across various datasets, on the other hand, has not been completely investigated.
GBS datasets, on the other hand, may have significant amounts of missing or inaccurate data.
The artifact-corrected datasets, on the other hand, only showed a mean unsigned difference of 5.94 ± 1.10 μm, which is significantly smaller (p < 0.001, from two-tailed paired t-test) when compared to the partially corrected datasets.
On the one hand, the ethnic heterogeneity may partially explain the low overlapping SNPs between two datasets; on the other hand, the current sample size is not large enough to capture the moderate effect of associated SNPs.
The reproduction numbers of the two datasets, on the other hand, are indeed comparable since they mostly are generated from the initial growth rates and hence less affected by any selection bias.
Implicit methods, such as affinity propagation, adapt the module number on each dataset based on other parameters supplied by the user.
Of course, this service only works in New York, at least until the team can get their hands on comparable datasets for other cities.
