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The chemical structures and datasets are represented as described in [33], enhanced with JSON representation to facilitate the user interface implementation (http://ambit.sourceforge.net/api.html).html
Finally, many datasets are represented that inform the assets or the behaviours, and that can be interchanged or used in combination depending on the need of the model or the availability of the information.
In this article, the complex left ventricle (LV) shape and motion of 50 RT3datasetsets are represented by novel 4-D descriptors — 4-D sphericity, volume and shape, from which novel indices were derived by principal component analysis (PCA) and subsequently analyzed by a support vector machine (SVM) classifier to assess their capability of LVMD characterization and CRT outcome prediction.
A prerequisite for platform comparison is that all datasets are represented by a common set of probes.
All datasets are represented as mean ± S.E.
Following a procedure similar to that described in Rhee et al. [ 24], HIV-1 PR or RT mutants comprising the inhibitor datasets are represented as training sets of feature vectors for the learning algorithms based on three distinct sets of attributes as components (Table 2, adapted and modified from [ 24]).
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The performance of each model in the training and testing datasets is represented by RMSE statistic error.
Each music recording in the aforementioned datasets was represented by three song-level feature vectors, namely the 20-dimensional MFCCs, the 12-dimensional chroma features, and the auditory cortical representations of reduced dimensions.
Examples in training datasets were represented by orthogonal binary coding scheme.
In the present study, GO annotated datasets were represented at level 2. This level was chosen because it greatly facilitates comparisons among sequence sets by highlighting the most significant differences (see also Additional file 5).
In the present research, GO annotated datasets were represented at level 2. This level was chosen because it greatly facilitates comparisons among sequence sets by pointing out the most significant differences.
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