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Exact(2)
The idea is simple that training data and test data clustered in one small enough region can be thought to have the equal probability and then the importance can be computed with the ratio.
At each position j, the total importance can be computed by summing the absolute importance of all k-mers at this position, weight_mass k (j)=σ z ∈Σ k ∣ Q z, j)∣.
Similar(58)
We will present the important distribution adopted in Section 4. With the particles sequentially sampled from the importance function as each new observation arrives, the importance weights can be computed recursively in time as follow [16]: w ˜ k i = w ˜ k − 1 i p y k | x 0 : k i, y 0 : k − 1, h, G, Ψ π x k i | x 0 : k − 1 i, y 0 : k, h, G, Ψ, (11).
A z-score can be computed for each data value.
It can be computed very efficiently.
This can be computed from S's biography.
An empirical p-value can be computed.
The accuracy, then, can be computed as Eq. (4).
IC k can be computed recursively using.
We stress that (9) can be computed only after computing the whole matrix R∗.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com