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We recommend our approach when only fixative-treated tis sue is available for molecular genotyping.
In addition, important conditional dependencies may not be detected using Zhu et al.'s approach when only a few interaction effects exist.
Study-level meta-analysis is the appropriate approach when only estimates of differences in expression among conditions of interest are available.
Targeting is the optimal approach when only a few individuals or groups need help and it is necessary to avoid leakage to those who are not so needy.
Our findings showed that Cumulus readings are slightly better predictors of breast cancer risk than those from the ImageJ-based approach when only one single MLO image is read.
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The Hargreaves, the Thornthwaite and the Blaney Criddle are the three tested methods, given that these are the most recommended approaches when only air temperature data are available.
In this case, the maximum entropy approach performed better than the random approach even when only few models were available.
To see how the data mining based approach performs, when only few ligand structures are available as background knowledge, we re-ran the experiments with variant B2: using only ten per cent randomly chosen from the respective DuD ligand sets (20% due to smaller ligand set sizes in case of the HMGR, ADA and TK data sets) to extract background knowledge.
As it requires knock-outs to be performed for all genes in the network, the performance of the Pinna approach suffers when only a subset of interventions are available.
The interval 0 ≤ s(X) ≤ 1 bounds the value of entropy, with the left inequality approaching equality when only one strategy occurs at s n with nonzero probability of use (i.e., maximum sparseness) and the right inequality approaching equality when all k n possible strategies occur at s n with equal probability of use (i.e., minimum sparseness).
Combination of both rational drug design and modified HTS (ensemble docking) might be a better approach when compared with only either one method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com