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We obtained this dataset from dbGaP under the protocol of "Genetic study of schizophrenia, nicotine dependence and other comorbid psychiatric disorders" by X.C.
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Results obtained with this dataset support our theory.
Table 5 shows the results obtained on this dataset.
An even more illustrative example could be on the co-relation that can be obtained from this dataset concerning e.g. "beach", "lifeguard" and "sun umbrella".
Peptide sequences were also obtained from this dataset.
A sample of 495,902 records was obtained from this dataset.
We pinpoint some of the interesting findings obtained from this dataset.
Table 2 shows the average accuracy obtained on this dataset for the different loop length ranges.
The results in Figure 1 were also obtained using this dataset.
The classifier accuracy obtained on this dataset is 72%, with a sensitivity of 71% and specificity of 72%.
The validation and permutation results were overlapping (data not shown), so no further information could be obtained from this dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com