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In order to test the robustness of variables in the models, we constructed 7 models.
The other dimension reduction techniques investigated partial SIR, SAVE, yPHD, and rPHD did not reduce the dimensionality much for any of the three models we constructed.
In the experiments, we use five different performance metrics to compare the models we constructed based on our ISC similarity with other similarity measures.
In this study, to investigate the influence of different fingerprints, training data sets, and activity thresholds on SEA models, we constructed five SEA models based on five fingerprints Morgan, Atom pair, Topological, MACCS (molecular access system) keys and Pharmacophore and also a multi-voting SEA model based on the 5 different fingerprint-based SEA models.
By applying several well-known kinetic mathematical models, we constructed a novel model that described the influence that DNA damage has on the implementation of both the G2/M phase cell cycle arrest and the intrinsic apoptosis induction via its activation of the p53 synthesis process.
To benchmark our models, we constructed a basic ARIMA model with one autocorrelation term.
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For these models we construct the analytical solution and use it for studying the efficiency of locally optimal designs.
This is expected since in user-level power models, we used only the user data in order to construct separate model for each individual user of the device, while in device-level power models, we construct the model using data from all users and test it on each user individually.
Combining the ideas of these two models, we construct PDEGEM for analyzing the RNA-Seq data.
The statistical models we construct are sparse at the representative feature level but not at the gene level.
The models we construct for this purpose are a spatial generalization of a well-known Moran process, which was first introduced in [ 13].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com