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Four of these parts were selected to establish the PMS Matrix, whereas the remaining one part (from both training and background set) was used to test the performance of PriMir method by using the ROC-curve analysis.
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Finally, the pixels in the target set and the background set are used for training the adaptive network, which can divide each blurred pixel into two classes: a target pixel or a background pixel.
Four parts were selected to establish the PMS Matrix, and the remaining part (from both training and background sets) was used to test the performance of PriMir by the ROC curve.
The entire human protein set was used as background, and for this set 16,280 proteins with assignments to the cellular component ontology were available.
In the analysis the filtered data set was used as background list for the transcriptomics data.
The entire T. thermophila gene set was used for background distribution.
For each set of p63BS sequences, a background set was generated, and the validation set was used as a cutoff file to determine enrichment in the family motifs of all p63BS datasets.
The whole quantified phosphoprotein data set was used as a background data set, and the Benjamini-Hochberg FDR method was used for multiple hypotheses testing (FDR < 0.02).
This model and data set was used as a background for the present study aiming at a differentiation of school fear and truancy based on self-reported behavioural data.
A background set of Arabidopsis best-hit gene products for all contigs in our data set was used for comparison.
The development data (dev.zip) in "Source separation in the presence of real-world background noise" data sets was used.
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