Four authors (SJ Dong, YM Shang, Q Wang, and S Xu) were involved in study identifying and each of them selected one fourth of the studies for eligibility and checked against the inclusion criteria independently, they all cross checked the results with other authors.
We randomly select one third of the orthologous protein groups, remove annotations from one protein in the group and predict their functions using only its orthologs.
Next, we randomly selected one-third of each province's districts for a total of 21 selected districts.
From these the editors, Andrew J. Nathan of Columbia and Perry Link of Princeton, selected one-third for translation and inclusion in this volume, leaving the full Chinese version for publication separately.
Using a random table, we selected one-third of the patients of each district nurse for the study.
For the purpose of the investigation, we randomly selected one-third of the high schools in the Cantons, with half from each group.
Each primary healthcare unit was a cluster, and we randomly selected one-third of the family physicians working at each unit.
For the choice of cluster number, we randomly selected one-third of the candidate genes, and used these as the basis for PAM clustering over the range k = 2 to k = 10.
We then randomly selected one-third of the SNPs to obtain a random marker panel (21 k random panel) that had 10-fold greater marker density than the AIMs panels.
Within each of the 16 urban/rural and model/regular schools selected for the study, the final stage of sampling consisted of randomly selecting one eighth- and one ninth-grade classroom.
Step 2: For each filter method, rank and sort the features X i according to its importance in determining the output class C i. Step 3: Select one-third split of each filter selection method's output ( {X}_i^{mathit{prime}} ).
