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We also excluded very commonly-observed side effects such as headache (see Methods) to increase the sensitivity of our analysis.
We extend the win-lose score9 (see Methods) to account for the fact that the strengths of players fluctuate over time.
We therefore used our selection criteria (see Methods) to select 87 SNPs for assessment at stage-2, with P-values from the stage-1 meta-analysis ranging from 3.5 × 10−7 to 0.008 (Supplementary Data 1).
We computed a Bayes factor34 (see Methods) to determine whether this nonsignificant effect can be interpreted as a genuine null result rather than a lack of sensitivity in our data.
We tested this hypothesis by using TOUGH2 (ref. 26; see Methods) to model the injection of magmatic fluids (IMF) into a hydrothermal system under physical conditions appropriate for CFc13 (Fig. 4). Figure 4: Computational domain of the TOUGH2 simulations.
The evaluation of this contest addressed this by taking the best scoring stereoisomer and eliminating others (see "Methods") to reduce the influence of stereoisomers on the ranking results.
ERGs were measured under mesopic conditions (see Methods) to observe both rod and cone contributions.
We next used the FPSPD program (see Methods) to predict functional sites in TLR4, Mal and TRAM.
We have also used phylogenetic approaches (see Methods) to estimate the relative age of genes in duplicated blocks.
We used tandem mass spectrometry proteomics (MudPIT; see Methods) to analyze and validate alternative splicing in T cells at 0 hrs and 48 hrs post activation.
We used ten fold cross-validation (see methods) to build predictive models on 90% of the cases and controls, which are then tested on the remaining 10%.
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