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Drug sensitivity correlations between our model and large cell line compendiums were performed.The performance of the RAS model was remarkably robust across three validation datasets.
Gene expression-drug sensitivity correlations, as provided by the NCI program, may yield improved therapeutic options for treatment of specific tumor types.
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We identified 13 miRNAs correlated with enzastaurin sensitivity (correlation coefficients of >0.50) (Table 3).
The same procedure, i.e. selection of top-correlated mRNA/lncRNA pairs followed by computation of sensitivity correlation, was applied to cancer samples.
It is explained what the basic issues of averaging, sensitivity, correlation, projection, rejection, aggregation, signal-to-noise ratio, information, distance,…, bring into the investigation and the analysis of FDI problems.
matching high values of the sensitivity correlation; iii.
Using cDNA array technique and clinical response data, it is sometimes difficult to consistently reproduce gene-drug sensitivity correlation data.
However, it is sometimes difficult to consistently reproduce data of the gene-drug sensitivity correlation using cDNA array technique and clinical response data.
Concretely, linked nodes are required to meet two conditions: i. matching high values of the sensitivity correlation (i.e., S>0.3; see Algorithm and implementation subsection); ii.
In addition, we separately analyzed two sets of lung cancer cell lines, 10 and 19 lines to obtain our reproducible gene-drug sensitivity correlation data.
The HSE measure compares favorably with other solvent exposure measures in terms of computational complexity, sensitivity, correlation with the stability of mutants and conservation.
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