Following the ZOOPS model, we predict at most one motif occurrence per sequence in the cut dataset; the cut heuristic means that more than one occurrence per sequence may be predicted when these predictions are mapped back to the original dataset.
The intervals are transformed to discretization scheme as Eq. 14, where (D_A) is a discretization scheme of attribute A, and (cut_i) is the result of cut point selection of attribute A. begin{aligned} D_A={ -infty,cut_1],(cut_1,cut_2],lD_A={ -infty+infty )} end{aligned} (14)In the example of attribute (A_1) of the Toy dataset,cut_1]ut point list has only 1 cut point at 3.5.
Briefly, the original dataset is cut into subsequences of a given length U, such that each subsequence contains the first (w − 1) positions of the next subsequence.
In view of the whole dataset, the cut-off value of 50 kPa gives a good balance of high sensitivity and specificity.
Moreover, when the registered dataset is cut perpendicularly, the resulting image, whose lateral resolution is limited by section thickness, resembles electron microscopy data without major discontinuities suggesting that the registration was successful (Fig. 5c).
Using the median CIPHER score (0.33) of the entire dataset as cut-off, we then categorized these genes into genes associated with phenotypically similar diseases (Phenosim genes with CIPHER scores ≥0.33; n = 238) and genes associated with phenotypically divergent diseases (Phenodiv genes with CIPHER scores < 0.33; n = 234).
We evaluate the proposed classifiers on two artificial and ten real-world datasets that cut across a wide range of application areas including handwriting recognition, medical diagnosis and remote sensing, and then compare our algorithm against existing LDA approaches and other linear classifiers.
The number of datasets per cut-off group is noted in Table 2.
Then, we performed BLASTN analyses against these three datasets with cut-off values of at least 99% identity and E < e−10.
In order to remove the homologous peptides in resulting datasets, a cut-off threshold of 90%% was imposed by using the CD-HIT programme [ 122].
