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Applications of the BBQP include mining discrete patterns from binary data, approximating matrices by rank-one binary matrices, computing the cut-norm of a matrix, and solving optimisation problems such as maximum weight biclique, bipartite maximum weight cut, maximum weight induced sub-graph of a bipartite graph, etc.
For real data approximating an optimal tree is not obvious as the intergenic sequences can not accurately be aligned.
Instead we used the empirical data, approximating the AUC using trapezoidal integration.
Statistical analysis was performed using analysis of variance or Student's t-test to produce continuous data approximating normal distribution.
To obtain the weighted SD (SDw) of the global distribution, we multiplied SEw by the square root of average sample size across studies for each seafood item, yielding the formula Monte Carlo simulations tested for potential bias of Equation 3 using hypothetical data approximating the composition of the database.
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The data approximates a 20% sample of U.S. community hospitals4 and includes all inpatient stays for over 1000 hospitals from 46 states.
2D∶4D data approximated a normal distribution.
For phenotypes where the majority of infants responded, the data approximated to a normal distribution after log transformation.
The Kolmogorov-Smirnov test was used to estimate whether data approximated a normal distribution.
Kolmogorov-Smirnov Z-tests were performed to assess whether continuous data approximated a normal distribution.
As is often the case with microarray transcript abundance data, our log-transformed data approximated a normal distribution.
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CEO of Professional Science Editing for Scientists @ prosciediting.com