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Aligning the synthetic read set to gene models identifies a total of 28 (0.0001%) aligned reads.
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Results from hierarchical linear analysis models identified a significant effect for privatization while controlling for a major alternative explanation.
Neither single-pollutant nor multipollutant models identified a significant effect of SO2 on OM.
The STLDLA and STLD models identified a QTL at 74.1 cM (Tables 1 and 2).
The M8 models identified a total of eight sites as being under positive selection with posterior probabilities >0.99 (Table 3).
Application of Bayesian linear mixed models, in which each trait was evaluated against multi-SNP models, identified a multitude of new genetic associations (see Table S3).
Statistical models identified a range of factors associated with function and disability which explained a greater degree of the variation in function, than disability.
The K and KP CML models identified a total of 321 markers (Additional file 6) significantly associated with resistance to stem canker (p-value < 0.05).
We generally found only small differences in predictive accuracy (PPV) between these two approaches (table 4); however, the individual site models identified a greater number of true positives.
Developed by the Finnish Innovation Fund (SITRA), the Finland transition model identifies a number of "loops" in which specific innovations can drive economic transformation.
A mechanics model identifies a critical crack length ℓcr above which the long crack propagates across the entire conductor width.
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CEO of Professional Science Editing for Scientists @ prosciediting.com