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In order to address this question we built classification models based on two datasets measured inhouse at Boehringer-Ingelheim at pH 7.4: one kinetic set of solubility measurements based on nephelometry and one thermodynamic set of solubility measurements based on shake-flask experiments.
Only datasets measured at 400 psig were used to analyze for cross-plot relationships.
Digital volume correlation, applied to the X-ray computed micro-tomography datasets, measured the three-dimensional crack opening displacements and hence the crack opening modes.
An important aspect of the EOS program is the rapid archival and dissemination of datasets measured by EOS instruments to the scientific community.
Currently, significant discrepancies seem to exist between kinetic datasets measured to determine the relationship between dissolution rate and Gibbs free energy.
A total of 47 single ring infiltration experiments (datasets measured on three different sites of hydrologically important mountain podzols) were evaluated using the seven Eqs. and also using the methods for reference estimates of S and Ks.
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The yeast genetic interaction data did not overlap completely with the datasets measuring gene expression, and for each dataset we extracted measurements for the yeast interaction network ORFs.
Published, freely available datasets measuring gene or protein expression in the developing mouse retina at multiple time points were collected and preprocessed as described in Hecker et al. [7].
We collected a series of microarray datasets measuring different types of cancers, and a series of datasets measuring other cellular/physiological conditions.
We applied our prediction methods to datasets measuring the gene expression for prostate, breast, and lung cancers.
This is one of the largest available datasets measuring the overall reproducibility of gene expression data measured by gene arrays and demonstrates sufficient reproducibility.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com