Performances for all algorithms with different datasets were evaluated using two worker nodes.
When evaluating the effect of point density, the metrics derived from the thinned datasets were evaluated against the metrics obtained from the original data.
Association between gene expression of the GIPC1 KD signature and each clinical variable in the breast and ovarian cancer datasets were evaluated using globaltest [27].
The DSCT datasets were evaluated by two independent investigators blinded to serum adiponectin levels using a dedicated cardiac workstation (Siemens, Leonardo Circulation).
Briefly, DSCT datasets were evaluated by two independent investigators using a dedicated cardiac workstation (Siemens, Leonardo Circulation).
Unpublished datasets were evaluated by an internal peer-review process before inclusion.
This conclusion must be designated as invalid, considering the discrepancies that were identified when the results from the two other datasets were evaluated.
The quantifications of corresponding M/L ratios showing (Doxo+KSR1)/Control or (Etop+KSR1)/Control from two datasets were evaluated and then compared to provide a complete proteomic repertoire.
Results of the docking for nine DUD datasets were evaluated using AuPosSOM clustering followed by scoring with the scoring function developed in this study.
The interaction datasets were evaluated by co-expression frequency of interacting genes and similarity between gene ontology terms BP (Biological Process) and CC (Cellular component).
