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To separate true positives and false positives from the putative PPI dataset, we have developed a classification model based on an alternating decision tree algorithm.
We developed a classification model for early detection of PCA on the basis of SELDI-TOF MS data using DF.
For example, Nie et al. reported six features selected from morphology and texture descriptors by an artificial neural network and developed a classification model for computer-aided diagnosis [ 30].
In the present study, we identified key genes associated with OSCC stage and developed a classification model to discriminate the two most common OSCC groups: early stages (I, II) versus late stages (III, IV).
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Cerius2 descriptors were employed to develop a classification model for the 2772 compounds with antipsychotic activity.
Molconn-Z and BCUT topological descriptors were employed to develop a classification model for 1328 dopamine antagonists from MDDR database.
A combination of classification and regression trees with Random Forests analysis was used to develop a classification model for FRI polygons based on patterns of Canada yew abundance, and assess the performance of the model.
When developing a classification model it could be more important to have a high sensitivity for one class at the expense of a greater number of corresponding false predictions.
The training set is used to develop a classification model to predict cancer features with a cross-validation strategy.
Synchronous fluorescence spectra were collected for each extracted fat sample to develop a classification model.
Also, these properties can be used as a starting point to develop a classification model to determine the category of a new candidate AMP.
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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