Sentence examples for contaminated dataset from inspiring English sources

The result is very low retention or worse, a severely contaminated dataset.

Among 120 Mbp of all reference chromosomes 22 Mbp (18%) were uncovered in clean dataset and 30 Mbp (25%) were uncovered in contaminated dataset.

Among 28,775 genes of reference annotation 3,850 genes (13%) were classified as uncovered in clean dataset and 4,898 genes (17%) were classified as uncovered in contaminated dataset.

Metagenomic recruitment of the integron unit of RL on HCH contaminated metagenome datasets revealed concentrated mapping for IS 6100 associated transposase-TnpA6100 gene, which indicated active transfer of DNA within or between genomes specifically at dumpsite.

Models were assessed by using the original simulated datasets and the datasets contaminated at the following level.

On the other hand, metagenomic mapping of GSMs [ 55] against 18 reference genomes revealed maximum mapping for strain RL i.e. 1,425 reads from HCH contaminated pond metagenome dataset, which is absolutely pertinent because pond is the site of isolation of the strain RL.

Being the only "reliable" source of PPIs, inaccurate experimental PPI data will contaminate training datasets and therefore compromise the performance of computational PPI prediction methods.

We evaluate the performance of the RELM using batch and recursive learning rules, and also introduce a model selection strategy based on Particle Swarm Optimization (PSO) to find an optimal architecture for datasets contaminated with non-Gaussian noise and outliers.

Thus, not only can K a / K s detect drug resistance mutations in a single dataset (with no requirement for a reference dataset of untreated samples), it can do so even when the primary dataset is contaminated with a large fraction of untreated samples, or samples with different treatments.

The estimated predictive accuracy of each method on each dataset was evaluated against the simulated predictive accuracy and the accuracy estimated for the same dataset but contaminated, in turn, with one of three (scenarios 1 to 6) or two (scenarios 7 to 10) different outliers of increasing magnitudes.

It is therefore relatively facile to determine if a given EST dataset (particularly an insect gut dataset) is indeed contaminated by transcripts from another eukaryotic organism.