Sentence examples for integration of statistics from inspiring English sources

Because we focus on the integration of statistics to biology in this paper, we limit our discussion to the second project, which dealt with bat morphology and statistics.

Its theme can be summarized by paraphrasing Stephen On and colleagues: With the integration of statistics, epidemiology, biology, and a risk-based paradigm Campylobacter, science is coming of age.

It also draws attention to a number of papers on integration of spatial statistics software, GIS and the S environment that were presented on the spatial statistics workshop and sessions during the conference Distributed Statistical Computing 2003.

Moving forward, the integration of summary statistics will be vital for increasing our knowledge of various complex diseases and phenotypes (Schork et al.., 2013).

In order to detect solenoid repeats with weak similarities, we took advantages of the integration of wavelet-statistics features and the SWPT analysis of five factors representing protein structure and properties.

Integration of GWAS summary statistics (P-values) and functional genomic datasets should help to elucidate mechanisms.

This technique is based on the integration of different univariate test statistics via a distance synthesis scheme because features highly ranked simultaneously by multiple statistics are more likely to be differentially expressed than features highly ranked by a single test statistic.

This integration of C-terminal tripeptide statistics with protein family information, in combination with simple sequence masking and comparative genomics, was successfully applied to the prediction of C-terminal specific motifs ab initio.

Given the current importance of the subject matter and the high prevalence of teenage mothers in our country, this line of research must be continued and requires validation by a more analytical research instrument and the integration of an expert in statistics into the team for the duration of the study.

A lack of the integration between statistics and biology will significantly limit our detection and characterization of the new genetic underpinnings of a disease.

Since the GLCHH is faster than the GLCHS yet the GLCHH is not able to calculate features using all available statistics, the integration of these two methods generates a superior algorithm (the GLCIA).