Sentence examples for model quality control from inspiring English sources

This includes methods for model quality control, data and model integration, model comparison and model identification.

The authors believe that applying data governance in building information warehouses will provide a good start for data and model quality control.

The panel produced recommendations regarding the measurement, analysis, and reporting of relevant AD targets, th choice of animal model, quality control measures for breeding and colony maintenance, and preclinical animal study design.

The topics covered in the questionnaire include process analytics, process monitoring, plant-wide information systems, unit operation modeling, quality control, and process optimization.

More recently, a second model for quality control of exported proteins has been suggested involving mediation by the chaperone complex 14-3-3 14-3-3 14-3-3l. 2002; Yuan et al. 2003).

The proposed modeling and quality control strategy is illustrated using a batch reaction case study.

Soft computing techniques, such as artificial neural network, fuzzy logic and genetic algorithm, have been used for knitted fabrics modelling, manufacturing, quality control and marketing.

This paper reports the development of calibration models for quality control in the production of ethylene/propylene/1-butene terpolymers by the use of multivariate tools and FT-IR spectroscopy.

Following normalization, technical outlier samples were identified and excluded using a model-based quality control assessment that included relative log2 expression (RLE) measures, normalized un-scaled standard errors (NUSE), array pseudo-images, and the percent of probe sets called "present".

Normalization: signal drift and batch-effects, which are two major source of bias in MS data (van der Kloet et al., 2009 ), can be corrected by fitting linear or local polynomial regression models to quality control samples.

Annotations for the assembly were generated using the automated genome annotation pipeline MAKER-P, which aligns and filters EST and protein homology evidence, produces ab initio gene predictions, infers 5′ and 3′ UTRs, and integrates these data to produce final downstream gene models with quality control statistics (Campbell et al. 2014).