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We approximate the likelihood for each partition to be ∏ u = 1 U p 1 y λ, u, k | x ~ λ, k ∏ i = 1, i ≠ ɨ N p 0 ( i ) y λ, u, k ( i ) | x ~ λ, k ( i ), where p 1 ( i ) y λ, u, k ( i ) | x ~ λ, k ( i ) denotes the likelihood that a target exists at x ~ λ, k ( i ) and p 0 ( i ) y λ, u, k ( i ) | x ~ λ, k ( i ) denotes the likelihood that a target does not exist at x ~ λ, k ( i ).
The cocomplex coefficient C ij of proteins i and j denotes the likelihood that they participate in the same complexes.
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The score is derived from a p value that denotes the likelihood of a Focus Gene's presence in a network due to chance.
In terms of a formula, it is given by π(θ∣Data) ∝ L(Data∣ θ) π, where π(θ∣Data) denotes the posterior distribution of θ that is, the distribution of θ given the data, and L(Data∣ θ) denotes the likelihood function of the data given the parameter θ.
The quantity L (b; x, y, pr) denotes the likelihood function for b based on observed data x and y of n individual (x, y) pairs, assuming that the probability model is correct.
Further, L denotes the likelihood function.
Thus, in the proposal ratio 1/ npair denotes the probability that the same pair of crossing-over and coalescent nodes that were added are chosen for deletion, to move back from G ′ S to G S. l(X| G S, θ) denotes the likelihood of observing a set of haplotypes/genotypes given an ARG and the population mutation rate.
A general loss function based the likelihood function is the deviance defined as D y, θ) = -2log(L y| θ)), where L y| θ) denotes the likelihood function and log denotes the natural logarithm.
The likelihood that the mapping denoted by vi,j l,r) is correct is given by the corresponding weight (mathcal {W}(v_{i,j}(l,r))).
Here, we denote the predicted likelihood vector of the i-th protein as f i ∈ R C, and f ic represents the likelihood that the i-th protein has the c-th function.
- the likelihood that they were clicked on.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com