Exact(4)
Table 4 UCI dataset used in the experiment Dataset Example no.
We first introduce the experiment dataset, the evaluation metrics, and the parameter setting.
From the experiment dataset, we used the record of shot 2 (S02 in Figure 6) for the estimation of amplitude decay with distance.
To expand the application of our method, we add Gram-positive bacterium B. subtilis genes to the experiment dataset, and the prediction performance is outstanding.
Similar(56)
These score thresholds were optimal for the benchmark datasets, but ultimately the score threshold will depend on the number of reads used in the experiment (datasets with more reads may require higher score thresholds) and the purpose of the experiment (re-annotation studies will require higher score thresholds than studies looking for novel junctions).
Figure 11b presents the actual computational time (in seconds) required for creating the discretization scheme and discretization from the experimented datasets.
Each pair was evaluated on two levels: the correspondence of the experiments (datasets) based on the text abstracts associated with the experiments, and the correspondence of the two individual microarrays that were matched as most similar by our method.
The calibration experiment dataset used for illustration was a precursor to the now complete Medical Research Council Autism Imaging Multicentre Study (MRC-AIMS).
From the DCE experiment dataset, genes were grouped according to temporal expression profiles by K-means clustering using the TM4 software [39] and an expected cluster number of 20.
The main sources of variation in the 2D-DIGE experiment dataset were evaluated by unsupervised multivariate PCA, using Euclidean distance for quantitative analysis.
These petrophysical realizations are tested in a contaminant transport problem based on the MADE-II tracer experiment dataset.
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