Sentence examples for datasets batch from inspiring English sources

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This approach minimized intra-dataset (that is, KEGG and passage FLS datasets) batch effects like BeadChip lot, reagent lot, lab processing, or temporal variability).

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(d) A subset of the original dataset (Batch 1) was purchased for a second time (Batch 2) with a different batch-ID to assess repeat compliance.

The tight hierarchical clustering of P5 FLS samples across the KEGG and passage datasets demonstrates that inter-dataset batch effects are minor relative to the RA methylation signature (see Results).

Although principal component analyses of the entire datasets before batch correction demonstrated obvious batch effects (see Additional file 9), batch correction had very little effect on most genes examined in this study (see Additional files 7, 8, 9).

A step-by-step protocol for cleaning individual field datasets and batch processing of harvest data from growers with large numbers of corn silage or grain fields is described in a manual that is available for downloading from the YieldDatabase page (http://nmsp.cals.cornell.edu/NYOnFarmResearchPartnership/YieldDatabase.html) of the Cornell Nutrient Management Spear Program website.

In the present work, a chemical non-equilibrium and non-linear 2-site sorption model is incorporated into solute transport models to invert the datasets of batch and soil column experiments, and estimate the kinetic sorption parameters for two pesticides: N-phosphonomethyl glycine (glyphosate) and 2,4-dichlorophenoxy-acetic acid (2,4-D).

We have three observations: (1) for all graph algorithms on all datasets, the batch replacement variants of the two graph databases outperform their original versions.

FIB/SEM datasets were batch processed in Adobe Photoshop for optimal brightness and contrast, followed by alignment and reconstruction into a 3D volume using Amira (Visage Imaging Inc .. SBF/SEM datasets were aligned and reconstructed into a 3D volume using Digital Micrograph (Gatan Inc).

The full dataset, a batch of 1342 samples, was checked using the Illumina GenomeStudio genotyping module.

Adjusting the 29K dataset for batch effects introduced by the manufacturing procedure using ComBat as described above significantly improved the sample correlations (median = 0.62, P = 2.9 e − 11), indicating that the overall gene expression patterns had become more alike.

Given these normalization procedures, samples from each dataset and/or batch were normalized separately, but in every case PP and PN samples from the same patient were normalized together.

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