Sentence examples for substantial for assessing from inspiring English sources

Exact(1)

In this sense, three aspects can be regarded as substantial for assessing how well the sample of assembled contig sequences represents the actual transcriptome population: (1) gene coverage, (2) transcript sequence quality and (3) completeness.

Similar(59)

However, these results represent a substantial input for assessing the risk for interindividual bloodborne transmission of sCJD and vCJD.

Another substantial challenge for assessing the biodistribution of NPs is that some organisms can cause the formation of NPs from dissolved ions.

A substantial motivation for assessing whether lower doses of toceranib can be used in dogs with cancer arises from the observed AE profile of the drug.

This issue has substantial implications for assessing whether inhaled formaldehyde would be capable of causing leukemia, which requires, at a minimum, that it reaches the blood or bone marrow to initiate this disease.

Though it is very difficult to predict resistance to EGFR-TKI before EGFR-TKI therapy and then PFS and OS after EGFR-TKI treatment because of MET gene activation, there may still be a substantial clinical benefit for assessing MET FISH status in NSCLC patients with EGFR gene mutations especially before initiation of EGFR-TKI therapy.

Then, the criteria or threshold values for assessing "substantial reduction" of the two rates were defined by comparing the global average change of rates for these two periods.

Experimental studies have shown that the tensile strength of regolith, specifically JSC-1 is substantial and reliable techniques for assessing behavior are needed.

However, these measurements are rather indirect and have substantial intrinsic uncertainties and, therefore, novel and independent tools for assessing subsurface structure are necessary to reduce these ambiguities.

As such, one might doubt whether the theory is adequate for assessing the rationality of real-world choices, or whether it has any substantial content at all.

There is substantial consistency across the groups in the consideration of risk-of-bias issues or "domains" for assessing observational human studies.

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