In order to build an accurate model, we propose a two-tier algorithm which builds a multiple linear regression model from a small set of simulated data. In this algorithm the Plackett and Burman design is used to find the key parameters of the GPU, and further simulations are guided by a...
We utilized the “runMarker” function to identify marker genes for each subtype, specifying a threshold of n.marker = 1000 and adjusting the p-value cutoff to p.adj.cutoff = 0.05. To ascertain the robustness of the identified subtypes, we validated the clustering results by leveragin...
However, it can be conjectured that the same results can be proven for some particular real-life data compressors, for example for those which are based on the measure R from [6] or on the LZ algorithm [10]. 2 Homogeneity testing Homogeneity testing is the following task. Let there be ...
The TSCMS model was constructed using Lasso-Cox regression, and its prognostic value was assessed through Kaplan–Meier, Cox regression, and receiver-operating characteristic (ROC) curve analyses. Immune infiltration was evaluated using the Cibersortx algorithm, and drug response prediction was performed...
Behav Res (2017) 49:1107–1119 1113 Appendix A To create the item set for the fraction magnitude comparison task, we first wrote a function in R that calculates the greatest common divisor of any two integers, a and b, using Euclid's algorithm: gcd <- function(a, b){ if(b == 0)...
The extent to which an instrument of test or measurement works for what it is to measured is called the validity. This concept provides a number of statistical procedures which can be used to validate the measurement techniques being used. Validity helps to understand how much useful and suitable...
method for right-censored distributions (and also for binary or ordinal outcome measures, as occurs in some cases), using the Markov chain Monte Carlo (MCMC) algorithm (see later). It is then possible to estimate construct-level predictive validities with standard errors of the estimates. The ...
We thus rotated a four-factor solution via the Promax algorithm (κ = 4). The factor pattern matrix and factor intercorrela- tions are presented in Tables 3 through 5. Despite some cross-loadings, the four factors were substantively identi- cal to the original British structure (Petrides, ...
In order to build an accurate model, we propose a two-tier algorithm which builds a multiple linear regression model from a small set of simulated data. In this algorithm the Plackett and Burman design is used to find the key parameters of the GPU, and further simulations are guided by a...
The design space of targeted Fermi GPU has more than 8 million points which cause exploring this huge design space a challenging process. In order to build an accurate model, we propose a two-tier algorithm in our algorithm which builds a multiple linear regression model from a small set of...