Sentence examples for stringent combination from inspiring English sources

Based on the Affymetrix statistical change and detection algorithm, a stringent combination of filter criteria was used to identify significantly changed genes, while keeping the false postive rate at a minimum (Table 1; see Material and Methods for details).

For the purpose of new biomarker identification, it is more suitable to use less stringent combinations, which results in higher recall.

To verify that the two separate networks were only partially related to the parameters we used for correlation, we tested less stringent combinations of Pearson's score and p-value (data not shown).

As can be seen in Figure 4, the (HF1) filter is far too stringent in combination with either Z-closure or Q-imputation; it gives almost no false positives but false negatives increase with increasing g towards the maximum value of 8.

At the stringent parameter combinations, often there are very few breaks in the variable species to reliably estimate significance of joint breaks.

In situations characterised by high responder frequencies such as stringent strain combinations and most likely in clinical transplantation we need powerful protocols for in vitro generation and differentiation of antigen specific regulatory T cells.

The (HF4) filter is not stringent enough in combination with either Z-closure or Q-imputation; it gives almost no false negatives but false positives increase with increasing g.

Steve Jones, a dairy specialist based in the Forest of Dean, says that, instead of killing badgers, the solution to combating the disease is "a combination of stringent testing, controlled movements, vaccinations, quarantine and biosecurity".

Pathway analysis in combination with stringent statistical methods provides a strong indication for the quality of the microarray measurement.

It can be speculated that the high success rate of applications (52%) in combination with stringent eligibility requirements have contributed to this result.

This provides a robust and powerful dataset with low variance due to a combination of stringent experimental protocols and multiple biological replicates and its statistical strengths make possible sophisticated bioinformatic analyses and network predictions [55], [73].