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The Two Books and Adamic Knowledge: Reading the Book of Nature and Early Modern Strategies for Repairing the Effects of the Fall and of Babel, James J. Note that the samples in datasets 1–5 were all positive and dataset 6 contained both positive and negative samples. Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences. used a deep belief network (DBN) to predict protein secondary structures and they achieved an accuracy of 80.In addition, we trained and tested PPI models on other species, and the results were also promising. Detailed information on the benchmark dataset and the external test sets appear in Additional file 2: Table S1.

PJF and LLH conceived the study; STL performed the data collection, training, prediction and analysis; STL, PJF and LLH wrote the paper; ZB constructed the server; All authors contributed to the revised and approved the final manuscript.We seek to raise the low profile this theme has had both in the history of science and in the history of biblical interpretation. High performance image conversion IR viewers based on high-grade image converter are designed to observe indirect radiation of infrared laser, light emitting diodes (LED), dye and other IR-sources in 350 – 1700 nm spectral range. Silver ferrules are double crimped for secure attachment to the beautiful pearlizied pink short handles. We noticed, however, that most of the previous models used this dataset for training and did not use it for testing. With AC coding, physical chemical properties were selected by human knowledge, whereas with CT coding, amino acid classification was made manually.

only used positive samples of the 2005 Martin dataset to test their model and achieved an accuracy of 87.Sequences annotated with ambiguous or uncertain subcellular location terms, such as “potential”, “probable”, “probably”, “maybe”, or “by similarity”, were excluded.

After removal of pairs shared with the benchmark dataset, 30074 of ‘high quality (HQ)’ PPIs dataset and 220442 of ‘low quality (LQ)’ PPIs dataset were obtained. 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.was regarded as ‘high quality’ (HQ) data by the authors, while the scores of PPIs which were lower than 0.