Sentence examples for most appropriate validation from inspiring English sources

To perform the most appropriate validation of microarray data, bioinformatic approaches such as NetAffx (www.Affymetrix.com), refseq (www.ncbi.nlm.nih.gov), and Ensembl (www.ensembl.org) were used to identify the TaqMan probe sequence for each gene, which has the highest similarity to the Affymetrix probe set (Supplemental Table S9).

Since the institutional patient record was taken as the gold standard, level of accuracy and sensitivity measures are the most appropriate validation processes.

To date, there has not been agreement the most appropriate validation method for global mental health research with children [ 22, 42, 72, 73].

The miRNAs most appropriate for validation studies were those that defined groups 1 and 2. We calculated Pearson's correlations between measured parameters of lung function and the large number of differentially expressed miRNAs that were detected in BAL, serum, or urine.

This 2-fold range is a commonly used criterion for assessing the accuracy of predictions in in vitro in vivo extrapolation and has recently been subject to some debate, with additional models for success criteria being proposed, though there is no consensus on the most appropriate method for validation (30).

This complicates the transition from in vitro to in vivo screens in the drug discovery process as human format antibodies identified in vitro may not elicit equivalent engagement of the murine immune system and therefore may not represent the most appropriate tools for target validation, nor necessarily constitute the lead candidates for further development.

Until today there is no consensus on the most appropriate statistical methodology for the validation of continuous CO monitoring-techniques [ 32].

However, there has not been agreement on a single validation method most appropriate for global mental health research with adults or children.

Future steps include quantitative work to confirm the conceptual framework, establish a conceptual model, select the most appropriate items and demonstrate further validation.

For internal validation, such as crossvalidation or split-sample validation, it may be most appropriate to draw multiple imputations in the whole dataset before separating the derivation and validation samples (approach V1 in Table 7) (O'Mahony et al., 2014).

The most appropriate study design for derivation and validation will depend on the purpose of the rule (i.e. assistive or directive).