Sentence examples for necessity of validation from inspiring English sources

One of the main problems is the necessity of validation studies of each oscillometric device.

The random discrimination between primary and metastatic invasive tumors on temporal/external validation demonstrated once more the necessity of validation studies.

Finally, we cannot emphasize strongly enough the necessity of careful validation of gene-specificity for each putative morphant phenotype.

However, there is a possibility that functional microRNA might be found in this group, highlighting the necessity of experimental validation.

The main criticism made by both referees concerned the necessity of experimental validation of predicted targets of Arabidopsis tRFs in order to demonstrate the reliability of the predictions made.

This might be indicative of a higher content of false positive in this library, pointing out to the necessity of independent validation prior to gene selection for down stream functional studies.

The relatively high number of nodules that could not be measured emphasises the necessity of visual validation of nodule segmentation with skilled human interference in the reading process and demonstrates why fully automated detection of lung nodules is still unrealistic with the currently tested state-of-art software.

The list of putative deleterious LoF variants will despite the necessity of experimental validation be valuable information for future studies on detecting causal variants for recessive lethal or deleterious phenotypes in Holstein cattle also because of the similarity with results in human [ 18].

In spite of limited generalizability, our study demonstrated the necessity of cross-cultural validation of even simple health-status measures such as the VAS.

Furthermore, limitations of the clinical proteomics approach in identifying biomarkers are demonstrated and underline the necessity of proteomics data validation.

This study further demonstrated the necessity of a thorough validation of prediction models, in particular in situations with small sample sizes for some events relative to the number of variables considered as possible predictors.