Sentence examples for statistical alterations from inspiring English sources

In particular, we have demonstrated that the combined application of the GSVD algorithm with hypergeometric probability analysis provides an analytical framework by which statistical alterations in predefined metabolic pathways between experimental groups can be defined from complex metabolomic data.

The removal of endogenous estrogen in the FBS resulted in no statistical alterations of leptin expression between the groups, with a 3.1-fold increase in Ob-Ab- ASCs, 4.4-fold increase in Ob-Ab+ ASCs, 3.5-fold increase in Ob+Ab- ASCs and 5.8-fold increase in Ob+Ab+ ASCs.

The type of discrepancies noted by Neumann (1999) included requests to justify the study design and statistical analysis, alterations to the measurement instrument, rewording of information sheets and the requirement to involve a medical practitioner as a sponsor.

In terms of statistical analysis, these alterations were significant (P < 0.05) and highly significant (P < 0.01) for jam samples with LMAP and highly significant (P < 0.01) and extremely significant (P < 0.001) for those samples obtained with LMP or HMP.

Although not reaching a statistical significance, the alteration of C16:1n-7/C16:0 showed a similar trend with C18 1n-9/C18 0.

Table 3 shows the statistical associations between EGFR alterations and the clinicopathologic characteristics of the patients and tumours.

Moreover, according to Cleophas et al. [ 2], the "amendment should also cover any statistical consequences... and alterations to the planned statistical analysis".

Among 334 tested modules, alterations with statistical significance were found in four modules: Kallikrein pathway, Protein binding, Regulation of apoptosis, and Metabolism of xenobiotics by cytochrome P450.

Bockmühl et al used a CGH analysis software package that allowed integrated statistical analysis of chromosomal alterations at each chromosomal band throughout the genome (at the ISCN 400 band resolution).

Despite that the number of analyzed samples (n values) does not permit a definitive assumption as far as diagnosis is concerned the statistical analyses showed glycophenotype alterations according to the cutaneous tumors.

These genome-wide analysis may not be directly applicable for studies involving fewer or rare clinical specimen that are inherently restrictive due to the limited statistical power to detect alterations existing at lower frequency.