Sentence examples for criterion for avoiding from inspiring English sources

By combining the procedure for systematic computational assessment of transcript accessibility described in this study with selective experimental validation of the impact of predicted accessibility on hybridization, we will develop a useful criterion for avoiding troublesome secondary structure when designing microarray targets.

It is, therefore, strongly suggested that the regression coefficient (R) is not an appropriate method for comparing the best fitting of the isotherm and kinetic models; rather some forms of error analysis could be a better criterion for avoiding data errors.

The general criteria for avoiding fiber-bridging and slippage on a torus are formulated by differential geometry.

With appropriate criteria for avoiding false positives due to sequencing errors, next-generation technologies can provide novel insights into genome-wide aspects of mtDNA heteroplasmy.

Friedman has suggested, however, that profound popular involvement and establishing criteria for avoiding a priori exclusion of some values could imply an improvement in a priority-setting and decision-making context [ 19].

To be an effective drug target, the protein should be crucial for the survival of pathogen in the host body but non- homologous to human proteins and this criterion is a prerequisite for avoiding cross binding of drugs with human proteins, and drug side effect probability.

Koshy, however, insists that Young did not meet each of the criteria laid out by Holder for avoiding harsh mandatory minimum sentencing.

In addition, all the patients under care in the Infectious Diseases department of Pitié-Salpêtrière Hoscreenedere screened for eligibility criteria, thus avoiding any major selection bias.

This criterion also avoids unnecessary work for the cases in which the same study is published in different versions.

It is therefore advantageous to undertake the test at the actual temperature of interest (20 °C is appropriate for the P-criterion) and avoid the need for extrapolation.

Statistics should depend on strict criteria for statistical significance, avoiding post hoc analysis.