Sentence examples for strict prediction from inspiring English sources

"Although I've never considered '2001' as a strict prediction -- but as more of a vision, a way things could work -- I have long kept track, informally, of how our vision compares with computer science reality," he wrote.

'I never considered 2001 as a strict prediction,' Clarke will say in retrospect, 'but as more of a vision, a way things could work.' Yet their attention to detail verges on the obsessive.

In the case of PCB3, MetaPrint2D-react generates over 100 predictions using the Loose prediction level, and over 32 predictions for the Strict prediction level.

While this may be an effect of larval stage genes obscuring the signal of a greater number of interactions in the metamorphosis stage, this seems unlikely as under the strict predictions of the developmental constraint hypothesis, larval genes should be, on average, more conserved than those of the subsequent metamorphosis stage and therefore possibly involved in more interactions.

In addition, it might have produced a smaller number of predicted targets after correlation with the stricter prediction algorithm considering the accuracy and reproducibility of the whole genome array.

While the RIP-chip assay can identify high-confidence miRNA targets, it may produce a smaller number of predicted targets after correlation with a stricter prediction algorithm, considering the accuracy and reproducibility of the whole genome array and the possibility that there might be some unidentified target genes repressed only during translation but not through mRNA degradation.

So these difficulties are often regarded as a challenge which could be met by advances and effort in futures research methodology and seldom as a strict limit to prediction.

However, we can still see the effectiveness of the proposed method in this (more strict) ab initio prediction experiments.

Instead of using a set of strict rules for prediction which can potentially lead to large numbers of false negatives, we implemented these rules into a machine learning framework for better prediction accuracy.

To identify potentially novel miRNAs from tomato, after filtering out the conserved miRNAs, sequences ranging from 19 to 24 nt were used to further analysis using strict criteria for miRNA prediction.

However, most significant co-expression relations are not efficient in prediction because strict criteria of co-expression would filter out gene pairs only co-expressed in a few experiments (this is also why we manipulated arrays within experimental comparisons but not whole arrays).