In choosing to conduct a pool-based GWAS, one accepts a loss in power relative to a conventional GWAS.
A researcher has a collection of samples including 300 cases and 1000 controls and wants to conduct a pool-based GWAS.
We conducted a pool boiling experimental study on identical nano/microstructures with different wettabilities to examine the effect of wettability and surface structure on BHT and CHF.
First, they conducted a pool-boiling test of a nanofluid using a fresh heater wire.
When conducting a pool-based GWAS, how well SNP allele frequency is estimated from a DNA pool will influence a study's power to detect associations.
By conducting an analysis such as this a user can decide what power is forfeited by conducting a pool-based GWAS, and decide whether the approach makes practical sense in their situation.
Based on our experience with the study design of the Melanocortin-1 receptor (MC1R) gene, SKin cancer and Phenotypic characteristics (M-SKIP) project, we describe the most important steps in planning and conducting a pooled-analysis of genetic epidemiological studies.
In any given week, 320 tests are conducted from a pool of roughly 1,700 N.F.L. players.
There are eight disciplines, three of which are conducted in a pool; the rest are called deep disciplines.
Experiments were conducted in a pool filled with silicone oil by generating a nitrogen gas bubble and observing it with a high-speed video camera.
This research is conducted using a pool of commonly used features utilized in emotion recognition, such as fundamental frequency f 0, formants, energy, MFCC, Perceptual Linear Prediction (PLP), and LPC coefficients.
