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All models were identified through a systematic literature search, and we included most existing prediction models in the validation study.
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Buckling and ultimate strength characteristics of all models are identified and compared to each other.
Second, all of the possible 23 structural configurations of the models were identified.
Graphical models were identified as a promising new approach to modeling high-dimensional clinical data.
Partial gene models were identified by checking sequences individually.
Seven different planting design models were identified.
From these, the most-cited erosion models were identified.
Competing latent variable models were identified in previous studies.
Amongst these, known septin 7 interactors from studies in other models were identified, e.g. septin 2, septin 6 and the small GTPase CDc4216,17.
No other models were identified as strong competing candidates.
An additional 29 models were identified by manual annotation of 615 models with multiple PFAM hits.
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