Sentence examples for predictions by extending from inspiring English sources
We partly solve the resulting intra-molecular false predictions by extending the reliable stems in the partial structures, and, as already mentioned above, the RNAcofold algorithm and scoring scheme could be adapted to handle base pair constraints as single-stranded.
Here we greatly enhance the performance of MMPA for activity prediction by extending to Matched Molecular Series [3, 4].
In this paper, we design a new protein complex prediction method by extending the idea of using domain domain interaction information.
The authors believe that for this case, the quality and the lifetime of the predictions can be improved by extending the learning phase (more than four days).
According to the self-similarity characteristic and the scale invariance, the fractal extrapolate interpolation prediction can be performed by extending the fractal characteristic from internal interval to external interval.
The results, as listed in the middle part of Table 1, are proved to be better than that of DCS, which suggests that the accuracy of function prediction can be improved by extending some proteins' domain context from their direct neighbors to the known complexes where they belong to.
Prediction precision can also be improved by extending the calibration data to higher concentrations as long as continued linearity is demonstrated, and also, in principle, by increasing replication towards the extremes of the calibration range (with caution at the lower concentrations, as amplification failure becomes more likely with increased replication).
The secondary phenotype predictions were imported into PhenoDigm's underlying MySQL database (http://www.mysql.com/) by extending the database schema.
By extending the reference sample, our findings will progressively approximate full population predictions.
We address this problem by extending the linear programming-based solution introduced by Goldman et al.[14] to EC prediction.
In this research, the original swelling prediction model is extended by introducing the concept of critical filling sand content and critical contact stress.
