1. They reduce the noise by taking multiple sample traces and averaging them. 2. Detailed testing can require multiple samples from the same piece of tissue. 3. This time, multiple samples were taken : blood, mouth swab, and hair follicle. 4. The data across multiple samples thus comprises a data cube. 5. Using multiple samples substantially improves the power and false discovery rate of detecting variants. 6. Most sample sets consist of multiple samples at different pitches. 7. In between there are snippets of 1950s French soundtracks, moody trip-hop and multiple samples . 8. Multiple samples help reduce the risk of a false negative but should not be relied upon.9. Once normalized, a direct comparison of relative transcript abundances across multiple samples of mRNA can be made. 10. Later datasets containing multiple samples presumably were generated by rotating, adding noise etc . the original sample.
