Sentence examples for predictions with poor from inspiring English sources

Globally, this class contained predictions with poor functional evidence likely corresponding to conserved proteins among several organisms but with no defined functions.

These results showed that the gene predictions with poor sequence similarity were largely undetected as expressed sequences in comparison to gene predictions with intact ORF.

30 We identified four ADR risk-prediction models with poor to modest performance and raised questions about their overall quality, a finding not uncommon in the area of risk-prediction research.

The problems we have to solve in this domain are becoming too complex to rely on a single discipline for effective solutions and the costs associated with poor predictions (e.g. dry holes) increase.

Latest polls suggest France's anti-immigration National Front will make sweeping gains in the first round of the polls, with poor predictions for Hollande's Socialist Party.

Therefore, it is of great significance to find novel and effective biomarkers for prediction of LSCC patients with poor prognosis or at high risk of early recurrence.

The ROC AUC measures the accuracy of a prediction model as: 90−100% excellent prediction; 80−90% good prediction; 70−80% fair prediction; 60−70% poor prediction and 50−60% failed prediction.

This was first pointed out by Habier et al. [ 1] who reported poor predictions with GBLUP over successive generations compared to BayesB.

Multiplexes with this many primers generally result in a high density of extensible dimer artefacts when designed with poor dimer prediction accuracy, particularly at overall primer concentrations of up to 10 µM.

Simulation shows 12.7% speedup of SPECint95 with up to 33.5% on components with poor branch prediction accuracy using an 8-processor, 8-issue CMP with a simple mesh interconnect, realistic latencies, and limited bandwidth.

Although early age and metastatic spread at diagnosis are usually associated with poor survival, 3 predictions of prognosis and response to standardized treatments based on clinical parameters have proven difficult.