Sentence examples for data reduction tools from inspiring English sources

Practicing statisticians often employ data reduction tools to arrive at conclusions on the distributions from which the data were sampled.

ANSTO aims to enhance the experiment experience of its facility's users by integrating these data reduction tools with the instrument control interface for immediate feedback.

Robust de novo assemblers, data reduction tools, and cloud computing are beginning to make sequencing data analysis more approachable for bench and field scientists [ 12- 14].

More specifically, we investigated some popular data reduction tools and assessed their performance on simulated 454 and Illumina metatranscriptome data in terms of the accuracy of resulting protein annotations.

Data reduction tools including principal component analysis (PCA) 24 in MeV were used (standard default inputs) in order to reveal internal structures or hidden associations in the gene expression data with regards to clinical background, patient demographics, and transplantation outcome.

After almost one year of routine operation with the MICADAS C-14 system BATS has proven to be an easy to use data reduction tool that requires minimal user input.

In addition, factor analyses were conducted to explore potential structures within the data and as a data reduction tool.

As preprocessing and data reduction tool, SEED is very efficient in improving the time and memory requirements of downstream NGS data processing routines, such as genome and transcriptome assemblies, often by a factor of 2- to 5-fold, based on the NGS test datasets used in this study.

Factor analysis (FA) can be applied as a data-reduction-tool without any a-priori assumption regarding associations between observed data and latent structure (Exploratory Factor Analysis, EFA).

Factor analysis (FA) has been widely applied in microarray studies as a data-reduction-tool without any a-priori assumption regarding associations between observed data and latent structure (Exploratory Factor Analysis).

Emphasis will be given to the interplay between the analysis use cases and the technical aspects of the architecture including the design of the event data model, transient-persistent separation, data reduction strategies, analysis tools, and ROOT interoperability.