We analyzed data from NHAMCS, using the merged datasets from 2005 and 2006, with no exclusions.
For another, MiRNAClassify is compared with all the other methods simultaneously by using the merged datasets and our feature set.
Besides comparison with each method, respectively, we tested MiRNAClassify and other methods simultaneously by using the merged datasets about human, animal, and plant and the newly updated datasets and extracting a set of same features.
The peak height versus peak rank of the 1,648 high-confidence Kaiso peaks is plotted in Figure 2A (dashed line), for comparison with all peaks identified using the merged datasets (solid line).
Because IDR uses the merged dataset to call a final peak set, large peaks that are present in only one dataset may be included whereas certain small, but reproducible, peaks may be excluded.
Similar results were obtained using the merged breast cancer dataset (Additional file 6: Figure S3).
The total repeat base pairs were calculated for each sub-region using the merged partitioned repeats.
Because the inpatient cases are found in both datasets, we de-duplicated the merged dataset using probabilistic matching on eight variables (date of admission, date of discharge, date of birth, sex, age, residential ZIP code, diagnosis codes and facility code).
These analyses clearly showed that cross-platform comparison outperformed the simple combining; therefore, the merged dataset was eventually used for further downstream analysis.
