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Unlike other suppliers we supply the Eurowa 1700 x 700 Steel Bath including the legset required for installation at no extra chrage. In addition, we trained and tested PPI models on other species, and the results were also promising. Sequences annotated with “fragment” were excluded, and sequences with fewer than 50 amino acid residues were removed due to the possibility that they may represent fragments. This work was supported in part by the National Natural Science Foundation of China (21673010, 81273436) and the Ministry of Science and Technology of China (2016YFA0502303).

Note that the samples in datasets 1–5 were all positive and dataset 6 contained both positive and negative samples. Deep-learning algorithms, which mimic the deep neural connections and learning processes of the human brain, have received considerable attention due to their successful applications in speech and image recognition [ 15, 16], natural language understanding [ 17] and decision making [ 18].This is a rare situation, however, if this does happen our objective is to make the process as efficient and easy as possible.

We selected two comprehensive databases that integrated most of the newly-updated PPIs databases (see the Database section) to test our model.The predictive abilities of both models did not decrease appreciably with the NR-test set (Table 1).

An autoencoder is an artificial neural network that applies an unsupervised learning algorithm which infers a function to construct hidden structures from unlabeled data. An SAE consists of multiple layers of autoencoders, which are layer-wise trained in turn, and the output of the former layer is wired to inputs of the successive layer.Each Walk-in Shower Enclosure includes a support rod for added stability and is reversible to suit your preferred layout. We also used Pan’s web server to test positive and negative samples from the 2005 Martin dataset, and found that the prediction accuracies were nearly the same as ours (93.

By testing positive and negative samples separately and analyzing sequence similarities between the test and training sets, we found less sequence similarity between the Martin 2005 negative samples and the training negative samples, and we believed that this contributed to unsatisfying prediction accuracy.In this study, j is seven (seven physicochemical properties); the names and exact values of these properties are shown in Additional file 4: Table S3. DIP dataset: the 20160430 version released Database of Interacting Proteins (DIP, human) was downloaded.