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There are several possible solutions to dependence problems, including intra-study averages, hierarchical/multi-level models, and cluster robust standard errors [12].
Twenty ab initio DAMs (dummy atom models) generated using the program DAMMIF [ 30] were clustered by DAMCLUST [ 27] into three groups, cluster 1 (comprising eight models), cluster 2 (comprising five models) and cluster 3 (comprising seven models).
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So let's start with mixture models and clustering.
This paper presents an effective decision making system for leak detection based on multiple generalized linear models and clustering techniques.
Table 4 Best DER result obtained for both speaker models and clustering algorithms Clustering algorithm Speaker model HAC ILP GMM 19.45 17.15 I-vectors 16.95 16.10.
This makes it applicable for a wide range of cheminformatics approaches, including virtual screening using sophisticated statistical models and clustering approaches.
Individual-level analysis models, such as population-averaged (PA) models (also called marginal models) and cluster-specific (CS) models (also called conditional models), have been advocated for the analysis of CRTs with binary outcomes since they allow for the possible imbalance of both cluster-level and individual-level characteristics to be incorporated into the analysis.
In section Exploratory methods we discuss unsupervised methods (component based models and clustering methods).
The validation set was used to assess the predictive power of the models and clustering fitness.
However, identical or very similar topologies were obtained with other substitution models and clustering methods.
The smaller signature was constructed using Cox proportional hazards models and clustering analysis as proposed by Goeman JJ and Finos L [ 37].
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