Sentences with phrase «require large numbers of samples»

Not exact matches

Psychiatric diseases, since they are the result of a complex mix of genetics, environment, and behavioral factors, require large numbers of people, or what's known as a large sample size.

«Lowering the cost will open the way for new applications, especially ones that require testing a large number of samples.»

Because many of the genes influencing facial morphology are likely to have small effects, successfully mapping a large number of these genes will require much greater sample sizes and a more comprehensive approach to quantifying facial features of interest.»

Due to the large sample numbers required for statistical power and the limited budget, we couldn't sequence all of them.

Running as facility of this size requires a massive amount of support and we work closely with the library preparation team that supplies large numbers of DNA templates in a from ready to be sequenced, the Institute's IT team that maintains the extensive amount of compute and storage infrastructure necessary, sequencing informatics which develops software tools to process, analyse, store and track all the data, projects and samples for the Illumina pipeline and the development team which invents novel and improved protocols to take better advantage of this new technology.

The law of large numbers requires, by definition, independent samples as input.

Large sample depth during other periods is not then required (a robust curve to remove growth trend is already in hand) except in relation to the general coherence of the tree response to the environmental parameter of interest — if the trees are «noisy» then a larger number of samples will be required to extract signal than if the signal is more coherent.

With regard to the sample size required for valid application of this modeling approach, we are hesitant to speak of sufficient sample sizes, since a large number of observations with little score variation over time (as in our second empirical application) does not necessarily provide richer information than a smaller sample with more fluctuations.