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The greedy algorithm uses the bootstrap-based local error estimates for the polynomial chaos predictor to identify the best candidate set of points to enrich the experimental design.
In this article, we integrated and leveraged information from different sources, such as chemical similarity, targets and adverse drug effects (ADEs), to generate a predictor to identify drug-targets, target-adverse effects, and drug-adverse effects associations.
We used the data resulting from our screen to build an in silico predictor to identify Ste20p substrates on a proteome-wide basis.
Thereafter, protein sequences are used with Hum-PLoc predictor to identify the subcellular location of that particular protein.
Because this predictor is a sequence based predictor to identify protein-DNA binding mode, the secondary structure elements for each protein structure in testing data (query protein) are predicted by PSIPRED [ 48].
Excess of body fat, mainly abdominal fat [ 25], is related to NAFLD and IAAT is considered a determinant factor to increase prevalence and good predictor to identify the risk for development of NAFLD [ 26].
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Although most disease risk is polygenic in nature2,3,4,5, it has not yet been possible to use polygenic predictors to identify individuals at risk comparable to monogenic mutations.
GPs need to have predictors to identify CLBP patients at risk of developing CWP.
In addition, no robust predictors exist to identify patients at low risk of relapse.
One category of predictors attempts to identify conformationally flexible regions through analysis of protein tertiary structures.
The first predictor was used to identify the causal effect of friends.
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