Sentence examples for multiple genetic biomarker from inspiring English sources

By analyzing multiple gene expression results and TRG, the prediction efficacy of this multiple genetic biomarker panel was demonstrated.

From the results of ROC curve analysis of the multiple genetic biomarker panel and TRG, we found that the best cutoff value was 3 genes.

The multiple genetic biomarker panel, can predict CCRT response with a sensitivity of 89.7% and a specificity of 81% (AUC: 0.915; 95% CI: 0.840 0.991; Figure 3).

In other words, a multiple genetic biomarker panel, on which no less than 3 genes were interpreted as positive, was considered to be positive.

For the correlation between multiple genetic biomarker panel (chip) results and CCRT response, negative chip results were more significantly correlated than positive chip results to poor CCRT responses (TRG 0-1; P < 0.001 in univariate analysis and P = 0.014 in multivariate analysis; Tables 3 and 4).

At this cutoff point, the sensitivity and specificity of a panel of multiple genetic biomarkers would also achieve optimal levels.

The accuracy of nanofluidic dynamic PCR for detection of multiple genetic biomarkers was further tested using two panels of RNA standards.

This is the first investigation regarding predicting the clinical outcome of CCRT using a panel of multiple genetic biomarkers for LARC patients.

In conclusion, the present study indicates that a panel of multiple genetic biomarkers, consisting of the DPYD, TYMS, TYMP, TK1, and TK2 genes, could be a potential aid in clinical predictions to obtain better CCRT response prediction models.

The initial investigation involved the expression levels of 9 functional genes; subsequently, a panel of multiple genetic biomarkers was constructed, including the following 5 genes: DPYD, TYMS, TYMP, TK1, and TK2.

Using a panel of multiple genetic biomarkers (chip), including DPYD, TYMS, TYMP, TK1, and TK2, at a cutoff value for 3 positive genes, a sensitivity of 89.7% and a specificity of 81% were obtained (AUC: 0.915; 95% CI: 0.840 0.991).