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At this rate, more than 10 days would be required by SOrt-ITEMS for binning even a small sized data set (500,000 reads each of length approximately 250 bp).
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Thresholding and outlining of territories was carried out by the software, with accuracy of chromosome boundaries in each z plane assessed by eye, the most accurate method when dealing with small to medium sized data sets.
However, in estimating the biological phyla of metagenome sequences in detail, which should include sequences from a wide variety of unculturable species, BLSOMs with high clustering performance are required, and the aforementioned lower limit should be applied in order to get accurate clustering even for small-size data sets, which should be poorly represented in the current DNA databank.
A small and a medium to large size data set are employed.
A data set represented by a smaller number of singular values than the original, full-size data set has a tendency to group data items that would not be grouped together if we used the original data set [ 2].
Thus, despite its small size, our data set can be considered quite solid for the aim of this study.
This combination (etalon and filter) lends itself to the addition of small sample size data sets to enhance the demonstration of the included sequence information in the network.
Our results challenge the paradigm of using feature selection techniques to design parsimonious classifiers from microarray and similar high-dimensional, small-sample-size data sets.
Statistical issues, such as variations in modelling procedure in small to moderate size data sets between the different studies, could be an alternative explanation.
This observation is within expectation since model selection bias also increases for small training data set sizes [27].
However, there was also a drawback since larger training data sets imply smaller test sets: in case of small test data set sizes, the variability of the prediction error estimates increased considerably.
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