Sentence examples for filtered out data from inspiring English sources

Genes were first filtered in BRB array tools to exclude genes where less than 20% of the expression data had a 1.5-fold change in either direction and where the missing or filtered out data exceeded 50%.

For our experiment, we filter out data that has been flagged as bad by at least one of the provider-specific quality control checks.

One important issue in metagenomic studies is the classification of sequences as 'novel', or belonging to a known genome, i.e. filtering out data that has been seen before.

The motion removal approach acted as a pre-processing stage to filter out data that were associated with moving objects.

It acts as a pre-processing stage to filter out data that are associated with moving objects.

Quality assurance and quality control methods from the National Oceanic and Atmospheric Administration NOAA Meteorological Assimilation Data Ingest SystemeMADISDIS) were used to filter out data that may have resulted from sensor drift or spiking (http://madis.noaa.gov/madis_qc.html).noaa.gov/madis_qc.html

Instead of filtering out data signals deemed to be irrelevant according to companies' current analysis patterns, as older warehouse solutions have done, data lakes allow complete storage of unstructured data sets so that when organizations mature and analysis models evolve, all of the information they need will still be accessible.

Checking "other QA" included filtering out data with clouds (adjacent cloud, mixed clouds, and possible shadow), aerosols (high and climatology aerosols), and possible shadow.

This was performed to filter out data that did not relate to health systems and to organise the substantial amount of extracted data for ease of analysis.

After filtering out data from weak signals as described above, the remaining signals do not appear to show intensity-dependent biases (blue spots in Figure 2A).

We carried out a profile preprocessing step on the samples, which included filtering out data with more than 5% missing values, combining probes of the same gene, and then filling missing values using the K-neighbors algorithm.