Sentence examples for various prediction algorithms from inspiring English sources
Hence, various prediction algorithms based on siRNA functionality have recently been constructed to increase the likelihood of selecting effective siRNAs, thereby reducing the experimental cost.
Recently, much attention has been paid to this problem, and various prediction algorithms over nodes have been proposed [1, 2, 3].
According to the various prediction algorithms, the T. gondii genome is expected to encode approximately 7,800 genes [26], [27], of which 18% were estimated to be life stage specific (∼1,400) [28].
It has to be noted here that the various prediction algorithms behave somehow differently.
The reason for the use of complementary approaches lies with different strengths and weaknesses of various prediction algorithms, and in the absence of experimental evidence, the best strategy is to apply a consensus decision among as many prediction tools as possible.
Related to the discussion of statistical power, is the discussion of the validity of the miRNA-target interactions inferred from various target prediction algorithms.
The various computational prediction algorithms have been found to suffer from significant false positive and false negative rates.
Second-generation annotation tools combine various gene prediction algorithms, which ought to increase their accuracy in performing gene annotations [ 5].
Various class prediction algorithms were assessed by a tenfold cross-validation scheme, using a set of scoring indices to establish a pipeline for prediction of medulloblastoma subgroups using nanoString data derived from the training series.
Using various class prediction algorithms, Ivshina and colleagues [ 20] and Sotiriou and colleagues [ 19] have identified gene expression indices that classify intermediate grade tumors into low grade-like and high grade-like tumors that display low and high risks of recurrence, respectively.
Establishing a formal foundation is essential to obtain a solid and more generic understanding of various auto-scaling prediction algorithms.
