Sentence examples for data not suitable for from inspiring English sources

Besides the high throughput of RNA-seq overcomes the shortcoming of low redundancy of sequencing reads in EST data, which makes EST data not suitable for quantitative measuring transcript abundance [16], [18].

Studies reporting data not suitable for meta-analysis (e.g. outcomes other than OR, or with missing data) were summarized narratively.

Upon qualitative analysis of characteristics with data not suitable for pooling, 5 additional positive predictors and 4 additional negative predictors of warfarin use were identified.

Among studies reporting data not suitable for meta-analysis, the findings were also consistent in that there was no clear trend towards a reduction or increase in cardiovascular medication utilization between rural and urban patients [ 2, 8, 30- 33, 40, 49, 54, 59, 63, 65, 67].

In two other reports with data not suitable for meta-analysis, medication adherence was significantly higher in one study (92% versus 83% of doses taken, p = 0.01) [ 73], and significantly lower in the other (10% versus 17% of patients compliant, p < 0.01) [ 74], for rural versus urban patients, based on unadjusted data.

Within these 19 papers four articles were excluded: one because the descriptive data were not suitable for data extraction and the author could not be contacted, i.e., the data were merely descriptive and no numerical data could be obtained [ 40]; the other three studies were excluded because of poor quality [ 39, 41, 42].

Mongo is good for storing data but not suitable for carrying out search on big data.

We conclude the paper by summarizing our findings as follows: 1. Mongo is good for storing data but not suitable for carrying out search on big data.

However, when the raw data were obtained for the PBDE 209 study (i.e., Viberg et al. 2003) by a third party, who subsequently provided the data to the U.S. EPA, the agency acknowledged that the data were not suitable for use with human health assessment (U.S. EPA 2010).

but the "raw" data is not suitable for direct analysis.

These data are not suitable for detailed studies of fertility evolution in the 20th century.