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The preparation of the data included a preliminary analysis, recoding of the data, the selection of items to be used in the modeling, weighting of the data, and both exploratory and confirmatory factor analyses.
Based on the gene expression data, the selection of SPL2 and the omission of PHO81 and YPL110C by TRANSMODIS are consistent with one's intuition.
If the intent is to undertake a quantitative analysis of the data, the selection of the median rank and interquartile ranges as appropriate statistical tests that is meant to answer the study research question seems insufficient.
Because the optimal amount of shrinkage depends on the heritability and the genetic architecture of the trait, the number of markers and amount of linkage disequilibrium (LD) present in the data, the selection of the hyperparameter λ is of central importance.
These findings highlight an important but usually overlooked problem inherent to studies using EHR data: the selection of records with sufficient data, as measured by human imposed sufficiency requirements, for research may bias the sample towards patients who are sicker than the population from which the sample is drawn.
In this paper we describe the development of a collection of 3′-cDNA 454 reads derived from multiple Lens species and genotypes, the identification and characterization of SNPs from this data, the selection of a subset of SNPs for the development of a 1,536 SNP Illumina GoldenGate array and the use of the array to generate a comprehensive linkage map for a L. culinaris genetic mapping population.
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Since correlation coefficient depends on the quality and the number of data sets, the selection of expression data is crucial for better prediction.
Data selection The selection of significant samples data, to minimize the mass of available data, and to facilitate the study of the main objective.
Since the current analysis was not the main purpose of the data collection, the selection of patients, availability of data, and predictor definitions differed across hospitals (web appendix table 1).
Because data capturers need to understand the requirements of data entry, the selection of the right person(s) with a particular degree of computer literacy or people who could be trained was an important step.
Currently published data on the thermodynamic properties of eutectic salts contains contradictory data, impeding the selection of PCMs.
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