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The recent advances in genomic technologies and the availability of large-scale microarray datasets call for the development of advanced data analysis techniques, such as data mining and statistical analysis to cite a few.
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However, the massive datasets also call for principled modelling frameworks and efficient analytic approaches to take a full advantage of the in-depth information encoded in the available and emerging quantitative interaction datasets [ 22].
Six datasets (called R for replay) were reconstructed from this LM additional acquisition, mimicking acquisition times of 1.5, 2, 2.5, 3, 5, and 10 min (respectively R1.5, R2, R2.5, R3, R5, and R10).
Sequence datasets, called double-h2az and double-h33 for training SVM classifiers were created as described in Methods.
For each of the patients, there are datasets called ictal and interictal.
Altogether, there were two primary datasets called by 2 independent algorithms each, and all 4 subsequently combined for final CNV calls as described below.
Finally, to facilitate the use of the database, we implemented a software tool (adapted to the planarian dataset) called Planform for the unambiguous specification, centralized storage, and effective search of regenerative experiments.
Here, we would like to call for an international effort to analyze and mine the dataset.
The analysis uses a dataset called "Proms", which stands for "patient reported outcome measures".
Aqueous reaction constants used for thermodynamic calculations are the values included in the LLNL version 8, release 6 dataset (called "thermo.com.V8.R6+.dat" by REACT), except for some arsenate and arsenite complexes listed in Table 2.
The inferior performance of both military scores when applied to our dataset calls into question their applicability for use in the civilian trauma setting, in which the majority of patients suffer blunt trauma.
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