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Support vector machines (SVMs) are computational algorithms that can learn from training examples for binary classification problems.
Our previous work (Tastan et al., 2009) used those 'GroupI' interactions (associated with strong keywords ) as training positive examples for binary PPI predictions.
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Therefore, the conditional expectation of the binary random number given a set of covariates could be modelled by an appropriate regression model for binary data, for example using a generalized linear model [ 33].
Numerical examples are provided for binary and ternary mixtures to illustrate some structural features of general bimolecular systems.
For example, for the binary system 70 Ophiuchi, P is 87.8 years, and the distance is 5.0 parsecs; thus, a is 22.8 astronomical units, and m1 + m2 = 1.56 solar masses.
For example, for a binary with (q=2), angular momentum is extracted more than 10 faster if the escaping matter forms a circumbinary disk compared to a fast stellar wind (Soberman et al. 1997; Toonen et al. 2014).
To compare the outcomes between the two groups, we used linear regression analysis for continuous outcomes (for example, fluids), logistic regression for binary outcomes (for example, ARDS), and Cox proportional hazard regression for in-hospital mortality, always with group allocation as an independent variable.
Fig. 6 An example of binary key generation for one feature (2) Generate feature value segments identifier number for every feature.
Examples of typical hypotheses for binary exposures are described below.
Methods appropriate for matched samples were used in all cases (for example, McNemar's test for binary outcomes).
For example, the binary representations for 1, 3, 5, 7, 9 and 11 all have the bit representing 2 set, and the binary representations for 2, 3, 6, 7, 10 and 11 all have the bit representing 2 set.
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