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New methods need to be developed and unambiguously assessed datasets of driver mutations are required to train and test them.
Another potential criticism of the Bayes-CRE method is the focus on IFNG, LPS and TNF as key regulators in the assessed datasets.
We assessed the dataset for suitability for factor analysis.
The accuracy of the classification was assessed on dataset B using 10-fold cross-validation, repeated 10 times.
The feature selection method is then assessed on datasets of the UCI Machine Learning Repository.
Then a k-nearest neighbor classifier [ 16] was built on the training dataset, rigorously assessed by the validation dataset and finally applied to the mouse samples to classify them (Table S2, see Additional file 1).
A number of papers have described methods for assessing selected dataset requirements in microarray experiments using statistical criteria [12].
This definition of informative GO term is also used in another work [ 16] for assessing PPI dataset quality in M. tuberculosis H37Rv.
Finally, RNAseq objects allow different count summarizations to be performed (e.g. by exon, by gene) on the same data without re-processing, a useful feature when first assessing a dataset.
Six classic tephra volume models were assessed using a dataset from subsurface explosion experiments.
Quantitative evaluation based on HumanEva dataset assessed the robustness of the algorithm when dealing faulty input data, even in very harsh conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com