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For each event, the following features will be computed.
Instead, various secondary structure features will be computed (such as their free energy, shape, string representation, etc)., and the tree-like structure representations will serve as a common model for the precise and uniform definition of these derived features.
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Between each structural fragment se i in the structural space and each sequence segment qe j, a feature vector,, of length d=4×9, will be computed to measure how well se i and qe j match, for 1≤ i≤ q and 1≤ j≤ p. Each entry in 𝒱 i, j may be a linear or non-linear scoring function.
The mean and covariance matrix for the feature vectors in each speed bin will be computed in order to derive a statistical novelty boundary for that bin.
will be computed analitically as -1/tauv?
A score will be computed.
All analyses will be computed using IBM SPSS Statistics 19.0 for Windows.
The birth weight centile and ponderal index will be computed.
In addition to descriptive analyses frequency parameters will be computed.
In this module, optimal primer candidates will be computed.
Determine where the facial features will be.
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CEO of Professional Science Editing for Scientists @ prosciediting.com