In its essence, algorithm 1 is essentially screening the dataset and assigning the nodes to different clusters.
For vROCS screening we used the 5000 molecules as the primary dataset and screened the dataset using the Glide XP docked pose of compound VIII.
For data fusion one important criteria we used was that we required all the compounds fitness measures and we screened the dataset with minimum two features which lead us to get the scores of compounds which was not listed in three feature scoring.
As new analytical approaches for assessing microsatellite data quality have emerged since much of these data were originally collected, we screened the dataset for null alleles using MICRO-CHECKER [33].
Prior to addressing our research questions, we first screened the dataset to check for missing data and examine the normality of the variables.
Therefore, for future virtual screening of caspase-3, we can adopt a strategy of screening the dataset with the developed pharmacophore and then analyze the top HITs by docking or other structure-based studies.
The RNAz program screened the dataset of FANTOM2 putative ncRNAs and only identified 781 out of more than 15,000 putative ncRNAs having conserved RNA secondary structures (Washietl et al. 2005a).
Instead, it provides an easier and faster way to screen the larger dataset.
The screening of the dataset was carried out by the team members.
For CPT transport, three of 21 transcripts for multidrug resistance protein (MDR) transporters were also screened from the dataset by their annotation result and gene expression analysis.
