A simple method for assessing sample sizes in microarray experiments. BMC Bioinformatics. 2006; 7 :106. [ PMC free article ] [ PubMed ]Tibshirani R: A simple method for assessing sample sizes in microarray experiments. BMC Bioinformatics 2006, 7: 106....
Data are obtained from preliminary experiments with the system to be identified. Besides being preferable from a practical point of view, the data-based approach makes it easier to handle some numerical issues that gave problems in the model-based approach. A design method that minimizes the ...
These experiments suggest an interesting fact. It has been believed that a nonparametric procedure needs a large number of samples for high-dimensional data, in order to reliably estimate the Bayes error. Any nonparametric operation with a large number of samples requires a large amount of computer...
Figure 5 shows the percent of randomly-generated maximal classes of VC dimension 2 that are also maximum, from our experiments. The x-axis shows the size ra of domain X; the y-axis shows the percent of the randomly-generated maximal classes that are maximum. For each value of ra C {4...
in our numerical experiments in sect. 7.1 we approximate \(q_{m_n}(\alpha )\) as \({\hat{\sigma }_n} q_{t_{n-1}}(\alpha /2)/\sqrt{n}\) where \(q_{t_{n-1}}(\alpha /2)\) is the \(\left( 1-\alpha /2\right) \) th quantile of student’s t-distribution with...
Suggested Experiments: - Try preincrement operator instead of post-increment - See what happens if the array index goes out of bounds as a result of being manipulated in a host expression */ array = new int[] { 1000,1001,1002,1003,1004,1005 }; ...
The dependence of animal capture probabilities on auxiliary variables is an important practical problem which has not been considered when developing the statistical methodology of capture-recapture experiments. In this paper the linear logistic binary regression model is used to relate the probability of...
Experiments ObservationalStudies Agresti/FranklinStatistics,3of18 ObservationalStudy Inanobservationalstudy,the researcherobservesvaluesofthe responsevariableandexplanatory variablesforthesampledsubjects, withoutanythingbeingdonetothe subjects(suchasimposinga
While these insights also help with the design of multi-sample experiments, there are additional parameters that need to be taken into account such as the sample size and the effect sizes. For single cell differential expression analyses, several simulation-based methods have been published recently...
designed the experiments. W.Z. and S.L. performed the experiments. J.B.N., L.G.F., A.G., L.A.B., W.-Q.W., and J.C.D. constructed the phenotypes for the UK Biobank data. W.Z., J.L., S.A.G., B.N.W., M.L., H.M.K., C.J.W., S.L., and G.R.A. ...