Sentence examples for datasets from a diverse from inspiring English sources

We have constructed a variety of GCNs for citrus, encompassing all of the probesets represented on the Affymetrix Citrus genome array (approximately 70% of the predicted transcriptome with reference to sweet orange), using datasets from a diverse set of experimental conditions.

Using mouse data also allows more datasets, coming from a more diverse set of experiments [ 18].

Datasets from very similar experimental conditions have only weak model selection capability whereas datasets from very diverse experimental conditions are not appropriate for model selection either due to high uncertainty in the predictions.

The resulting dataset includes a diverse mixture of sequences from not only the bees themselves, but also from the full diversity of their natural microbiomes (gut and surface) and a panoply of viral and nonviral pathogens (Runckel et al. 2011).

Researchers from Lawrence Berkeley Laboratory, UC Berkeley, and ICSI are developing and applying new statistics and machine learning algorithms that can operate on real-world datasets produced by a diverse range of experimental and observational facilities.

This chapter discusses the novel database schema to help neuroscientists in managing complex datasets and implementation that allow datasets from diverse labs to be stored coherently in a single framework.

Few transcription factors (TFs) have been studied in the context of an integrative analysis incorporating genomic datasets from diverse genome regulatory mechanisms.

The ability to effectively integrate population data necessitates the collection of useful metadata from the data provider that is interoperable between different providers, allowing questions to be asked not only about a specific dataset but also across datasets from diverse groups or projects.

Each of the 158 retrieved Arabidopsis proteins was used as individual query to identify homolog sequences from our local protein database comprising the RefSeq GenBank data and conceptual translations of transcriptomic datasets from diverse eukaryotes, which do not have genome sequence available yet57.

More training datasets from diverse environments matched in space and time are urgently needed to improve the model performance and prediction accuracy, and perhaps, in due course, the seafloor standing stocks can be now-casted using the current ocean climate or even forecasted under the future climate scenarios [91].

Batch correction techniques are also included to further enable the combination of datasets from diverse studies in this comparison.