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Emmanuel Saez, a UC Berkeley economist and head of the Center for Equitable Growth at UC Berkeley, called the study "pathbreaking" for its use of a dataset with real time and detailed information on incoming and spending.
For comparative purposes, we also included a brain partition dataset on placentals, which included eulipotyphlans, afrosoricidans, and primates55; this dataset was extended by a further 29 species through use of a dataset from Reep et al.43, which however did not have olfactory bulb volumes included.
A previously published fragmentation method for making reliable negative in silico predictions has been applied to the problem of predicting skin sensitisation in humans, making use of a dataset of over 2750 chemicals with publicly available skin sensitisation data from 18 in vivo assays.
Use of a dataset covering a greater environmental range and trees that are older is likely to produce more robust estimates of cardinal air temperatures.
We first evaluate Dissect's false discovery rate through the use of a dataset comprised of wild-type transcripts.
The use of a dataset based on predicted sites with sequencing coverage intrinsically did, as there was a MQ ≥20 cutoff for sites.
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The use of a second dataset – the NNO control study dataset – suggests that all NNOs known at Hessian LPHAs could be retrieved from the national surveillance database.
Use of a primary dataset and an independent validation dataset provides additional robustness.
Use of a primary dataset for candidate gene identification (by microarrays) followed by validation by qPCR in an independent dataset provides additional robustness.
Making use of a rich dataset, we test and provide support for our hypotheses.
Furthermore, the use of a validation dataset demonstrated that it is possible to reach better performances than the ones presented by batch learning.
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