Sentence examples for negative data of from inspiring English sources

As per reviewer's suggestion, we performed Welch-s  t-test on dipeptide composition data to look at the significant difference between positive and negative data of each class.

Random sample from the negative data of the training dataset was executed to make the ratio of positive data and negative data 1 : 1 for n times; then there would be n new subsets of the training datasets.

By adding negative data of ligands that are known not to bind particular target, Pham and Jain have tuned the scoring function in Surflex-Dock and observed substantially enhanced screening enrichment for HIV protease and poly(ADP-ribose) polymerase (85).

From the collected data, lysine acetylated sites were used as the positive data of training set, while nonacetylated lysines were used as the negative data of training set, respectively.

"It's true, the body of negative data on the effects of the moon on a huge number of parameters is fairly impressive," he added.

Then, SVM, Rocchio and Naive Bayes algorithms are used as base classifiers to construct an ensemble classifier, which runs iteratively and exploits margins between positive and negative data to progressively improve the approximation of negative data.

If our experiments suffered from either TH degradation that depended on the duration of the whole cell recordings or a consistent % of false negative data independent of recording duration, those data sets would look quite different.

Let Ω be the original training set and ϕ be the set of all negative data instances of Ω.

Machine learning is important for pre-miRNA detection, but negative data is of an unknown quality [5], which highlights the need for models that do not depend on negative data.

While negative data is of unknown quality, also positive data from miRBase contains questionable entries [14, 16] and even MirGeneDB which filters miRBase entries is not free from questionable examples [17].

To train machine learning models, negative data is of importance yet hard to come by; therefore, we recently started to employ pre-miRNAs from one species as positive data versus another species' pre-miRNAs as negative examples based on sequence motifs and k-mers.