Exact(14)
The variation effect predicting algorithms were unable to determine whether these mutations were deleterious or not.
Using multiple computational target predicting algorithms together with the luciferase-based reporting platform, the interactions between HF-related microRNAs and the 3′ untranslated regions (3′UTRs) of neurohormone associated genes were examined and compared.
Specifically, we incorporated information generated by extensive use of predicting algorithms into group-wise association tests.
Estimations of sensitivity and specificity are available for most predicting algorithms [27].
By incorporating information obtained from predicting algorithms into association analyses, potentially causative variants can be preliminarily distinguished from background population variation, thereby improving the efficiency of these analyses.
In this study, we used existing predicting algorithms to predict functional amino acid substitutions, and incorporated that information into association tests.
Similar(45)
In their analysis, the authors predicted the impact of each variant on maintaining protein function using the predicting algorithm PolyPhen [19].
We described a copy number predicting algorithm in Amarasinghe et al., 2013 [ 12].
To evaluate the performances of a predicting algorithm, the cross validation is generally used [ 24, 33, 34].
In the practice, many predicted algorithms focus on a similar feature set for their prediction under the hypothesis that all miRNA target sites are evolutionary conserved.
This study is also fascinating in that their predicted algorithm has such a high success rate and could be extremely applicable to news syndicates and avid Tweeters -- which, during an election year, could make a big difference.
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