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To test these predictions, we compared plant species composition and richness in residential lawns in seven U.S. metropolitan regions.
To evaluate the gene essentiality predictions, we compared these to large-scale experimental data in vitro: in this case, a panel of cancer-specific cell lines derived from prostate adenocarcinoma (PC) or clear cell renal cell carcinoma (ccRCC), both cultured in defined serum-containing medium.
To gain insight into the reliability of the SMART2 model predictions, we compared the modelled soil solution chemistry for forest with soil solution measurements in forest soils.
To test our predictions, we compared the thermal tolerances of leaf-cutter ants (Atta sexdens) from colonies inside and outside of São Paulo, Brazil (Fig. 1).
To test the gene models underlying our predictions we compared the DAlFEs to experimental CAGE evidence in K562 cells and found that 45% of our set corresponded to CAGE data at the same position, in proximity to TSSs of genes (see Methods).
To evaluate the accuracy of our predictions we compared our nucleosome calls to several other sources.
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Contrary to most former studies which focus on daily predictions, we compare these models in an intraday stock trading scenario using high-frequency data.
Furthermore, to consolidate our prediction, we compared predicted biomarkers alterations with biomarker data from Human Metabolome Database (HMDB) [ 29] for several metabolic disorders.
To further validate our prediction, we compared predicted biomarkers alterations with the biomarker data from Human Metabolome Database (HMDB) [ 29] in several metabolic disorders.
To test this prediction, we compared brain activity underlying arithmetic problem solving in children with and without dyslexia during addition and subtraction operations using a factorial design.
To test this prediction we compared Cact protein accumulation in head extracts prepared from pooled samples of either 10 wild type flies or 10 transgenic flies that carry two copies of the pGMR-Aβ42 transgene.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com