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In the maximization step, we maximize the scoring function S (R k ) = ∑ m = 1 | T F | ∑ n = 1 | G | Γ (I m ) for each regulatory module R k, which measures how the interaction of each TF in R k matches the target gene expression changes.
The goal of the refinement process is to maximize the scoring function by following the direction of a few low-frequency normal modes.
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"The American style is about executing elements to maximize the score, rather than considering a routine as a whole".
Recalling Equation 5, we want to maximize the score for the correct tag sequence at the expense of the scores for all others.
The singing required to maximize the score throughout is far more than satisfactory, as conducted by Maurizio Benini.
jActiveModules selects a subset of samples for each module to maximize the score.
(5) Choose from all legitimate haplotype pairs that maximize the score in (8).
Then, for the first BN, N1, we try to maximize the score of the internal nodes, so we need to maximize h(x).
This relates to finding the set of non-overlapping structure elements in the two sequences that maximize the score under the requirement that the interval ordering is preserved.
Let furthermore L v denote an optimal solution (here optimal means to maximize the scores) of the DP-routine over v.
Most approximate algorithms attempt to maximize the score function of how likely a subsequence of an input sequence is a motif instance, using statistical analysis [ 16– 23].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com