Sentence examples for essentiality score from inspiring English sources

Using a genetic algorithm (GA), we evolved a weighted sum of these properties that defined an essentiality score capable of segregating key TFs from no-impact or non-essential TFs.

Overall, the estimated essentiality score for a gene in the adult definitive erythroid lineage was not a good predictor of its score in the primitive erythroid lineage.

These relevant features are gene essentiality score (GARP score), mRNA expression intensity (RMA score), DNA copy number, mutation occurrence and closeness centrality in the PPI network.

The gene still had a relatively high essentiality score within the adult-definitive lineage (S = 1.96), determined by the other properties contributing to the score estimate.

Using the weighted linear equation generated by the best solution (GA run 16 4; Additional file 2: Table S3) a lineage-specific essentiality score (S) was calculated for each TF.

To a certain genome, we first generated a proteome by translating all the protein coding sequences in the genome, and then, used Geptop to predict an essentiality score (S) for each gene.

Erythroid lineage-specific essentiality scores are available in Additional file 3 (Tables S4-S6).

Estimated essentiality scores for genes present in both adult definitive and primitive erythroid lineages are significantly correlated (r 2 = 0.542, p-value < 0.001).

To validate this, we analysed the GARP essentiality scores of genes B in cell lines deficient with genes A. We chose ten cell lines (Table  2) that harbour a deficiency in at least one of the genes A [ 31, 32].

Differential essentiality (CERES score) of BAF and PRC2 subunits in the presence and absence of SMARCA4/2.

To test our hypothesis, we use the essentialities (GARP scores) measured for genes B across cell-lines deficient in genes A (here, A includes six key DDR genes).