Sentence examples for maximum similarity score from inspiring English sources

Each drug-target candidate is associated with the 3D maximum similarity score against the set of drugs that interact with the same target according to ChEMBL.

Seg: the maximum similarity score between Dq and the drugs in the network of De that have pharmacogenetic associations with the genes of the enzymes of De (D3).

In this way each drug-target candidate has associated the maximum similarity score against drugs interacting with the same target in ChEMBL.

Str: the maximum similarity score between Dq and the drugs in the network of De that are transported by the same transporters of De (D5 and D7).

Strg: the maximum similarity score between Dq and the drugs in the network of De that have pharmacogenetic associations with the genes of the transporters of De (D6).

Se: the maximum similarity score between Dq and the drugs in the network of De that interact with the enzymes of De (D1, D2, and D4).

The output provided for each putative chemical named entity found is the classifier's confidence score, and the most similar putative chemical named entity mentioned on the same document through the maximum semantic similarity score.

We used the maximum function similarity score between the GO terms of two genes as the measure of the function similarity between them when we assessed the function similarity of interacted and non-interacting gene pairs.

Table 2 presents the P-values and the result set sizes of the top five queries when similarity cutoff is set to 90, 80 and 70% of the maximum possible similarity score.

The S max X, Y) obtained is the maximum local similarity score possible for all configurations of m-replicated time series X and Y within time-delay D. In this extended algorithm, the scalars x i 's and y i ' s from the non-replicated series in Ruan et al.[ 11] are replaced by vector functions F(X i)'s and F Y j)'s to handle data with replicates.

Here, the relational similarity between two hyper-edges h i and h j is computed as the maximum of the similarity score between a reference r ∈ h i.R and a reference r' ∈ h j.R: si{m}_nleft({h}_i,{h}_jright)={ max}_{rin {h}_i.R,rhboxin {h}_j.R}left si{m}_pleft r,rhboxright)right).