Sentence examples for contaminated datasets from inspiring English sources

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After assembly we analyzed coverage distribution for the assemblies of clean and contaminated datasets and removed from the contaminated assembly contigs with low coverage (less than 40×).

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

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.

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.

Contaminated area datasets with varying shapes should be tested to assess the efficiency of the geo-processing models we designed with other type of pollution coverage (and shapes).

These nine datasets were contaminated with 0 100% noise in the form of simulated reads from Proteobacteria genomes.

For each of the 24 scenarios, the simulation datasets were contaminated by flipping the outcomes (Y becomes 1- Y) of the records that had the extreme probabilities of having Y = 1 (i.e., either very low or very high p y ).

It is not a surprise to observe negative biases when the simulation datasets were contaminated, because flipping the outcomes of the records that have the very low or very high probabilities tend to weaken the associations between the exposure and the outcome leading the associations towards null.

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