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The relation between compounds and targets is defined by assay data from the Discovery Platform.
Based on the data from the discovery and strategy phase, and the specific goals of the project, you can start to create the blueprint for your site, which includes user pathways, features, functionalities, wireframes and a specification document.
This can be done using different significance thresholds (PT) of the data from the discovery sample, thereby testing whether including more information, i.e. SNPs, increases the power of prediction.
Of 28304 Agilent probes, 18178 probes with expression levels marked as "Present" in all of the 110 microarray data from the discovery set was further extracted to remove missing and uncertain signals on gene expression, and then the data were per-gene normalized in each dataset by transforming the expression of each gene to a mean of 0 and standard deviation of 1 (Figure S2).
Using the lipidomics data from the discovery series, we derived a model to determine the liver-fat content by applying the artificial-life algorithm and ridge regression as for the NAFLD model.
LC-MS data from the discovery and qualification sample sets were processed with the Molecular Feature Extractor (MFE) algorithm tool of the Agilent MassHunter Qualitative Analysis software version B.04.00.
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In three data sets from the discovery cohorts, there were Braak stage and Huntington grade information for each sample [ 24, 28, 29].
However, because the Japanese population has been reported to have a rather small genetic diversity, according to data from the SNP discovery project in Japan [34], geographical difference should not be affect our statistical results.
In this study, we identified the prognostic index for predicting PFS time in patients with advanced-stage serous ovarian cancer treated with platinum/taxane-based adjuvant chemotherapy across two types of microarray expression data from the present discovery set and publicly available external set by using the ridge regression Cox model.
WHAT QUESTION DID THIS STUDY ADDRESS? ☑ Can we predict drug effects of FXa inhibitors by using the kinetic data from the drug discovery stage?
By combining the data from the Swedish discovery and confirmatory cohorts, totalling 826 cases and 1835 controls, we observed strong association signals with P<5 × 10−4 for the SNPs rs2030171 in STAT1 and rs4694178 in IL8 (Table 1 and Supplementary Table S5).
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