Sentence examples for unexpected patterns in the from inspiring English sources

This creates unexpected patterns in the LHC data which reveal the particle's presence.

Those who register at the site can comment on one another's work, perhaps visualizing the same information with different tools and discovering unexpected patterns in the data.

Besides finding far more imprinted genes than expected, Dr. Dulac's team also picked up unexpected patterns in the way the genes were expressed.

This analysis reveals some expected and some unexpected patterns in the patient age/tumour size relationship.

After all, one of the main goals of data visualization is to bring out unexpected patterns in the data, which is best achieved by unsupervised machine learning methods.

However, a longer snow season at the higher summits in the Snowy Mountains may actually provide more favourable conditions in early spring when plants are protected from early-season frosts and winds, whereas they would be exposed earlier at the lower summits (Inouye et al. 2002; Venn et al. 2012 b ), which may have caused these unexpected patterns in the CTWM for SLA across the gradient.

In addition, the animations may reveal unexpected patterns in data structure, which make the D3-Maps useful in exploratory research, facilitating hypothesis generation and development and testing of mathematical/physiologic models.

Patients' responses to biomarker-based feedback showed unexpected patterns in a 1-year prospective study of risedronate treatment (5 mg/day orally for 1 year) with and without a reinforcement program (urinary NTX testing and patient education at weeks 13 and 25) (Delmas et al 2007a).

This selective pressure also shapes the mosquito's transcriptome expression to produce an unexpected pattern in which the basal transcript levels of innate immune genes, which play a role in anti- Plasmodium defense, are decreased.

Analyzing IRI effects in cortex and medulla of rat kidney reported by Krishnamoorthy et al. [ 11] we noticed an unexpected pattern in expression of TYROBP.

If the neural network (NN) methods could give precise representations in predicting energy use, with the advantage that they are capable of adjusting themselves to unexpected pattern changes in the incoming data, the multiple regression analysis was also found to be an efficient method, nevertheless with the requirement that an extended database should be used for the regression.