• CAMERA

  • Referenced in 6 articles [sw30339]
  • tests are commonly used in molecular pathway analysis to test for enrichment of a particular ... gene correlation. Several data sets are analyzed to show that inter-gene correlation ... idea of estimating the inter-gene correlation from the data, and using it to adjust ... inter-gene correlations, yet retains excellent power for detecting genuine differential expression. Analysis of breast...
  • PLNseq

  • Referenced in 1 article [sw36868]
  • model matched read count data. The correlation is directly modeled through Gaussian random effects ... estimate unknown parameters and conduct differential expression analysis. Results using simulated data demonstrate that ... terms of parameter estimation, DE analysis power, and robustness. PLNseq also has better control ... correlation through PLNseq enables us to develop a new and more powerful test...
  • Bio3d

  • Referenced in 4 articles [sw15706]
  • analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics ... provided to enable the statistical and graphical power of the R environment to work with...
  • netCoin

  • Referenced in 1 article [sw33253]
  • data analysis power of R to obtain coincidences, co-occurrences and correlations, and the visualization...
  • HiggsSignals

  • Referenced in 18 articles [sw14812]
  • fully taking into account systematics and correlations for the signal rate predictions, luminosity and Higgs ... signals cannot be resolved by the experimental analysis. We compare results obtained with HiggsSignals ... parallel to exploit the full constraining power of Higgs search exclusion limits and the measurements...
  • FARO

  • Referenced in 2 articles [sw41164]
  • lensing, and the linear multitracer power spectrum for the correlation between galaxy distribution and convergence ... code allows for tomographic and model-independent analysis in which, for scale-independent growth...
  • GSVD

  • Referenced in 1 article [sw35769]
  • analysis, multidimensional scaling, canonical correlation, partial least squares). Though the GSVD is ubiquitous, powerful ... GSVD: how others can (or should) build analysis packages that depend on GSVD. Finally...
  • nbodykit

  • Referenced in 10 articles [sw41097]
  • includes estimators of the power spectrum, 2 and 3-point correlation functions, a Friends ... develop in confronting the analysis challenges of future LSS surveys...
  • PyMVPA

  • Referenced in 6 articles [sw15259]
  • imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood ... analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques ... possess explanatory power that could provide new insights into the functional properties of the brain...
  • ROAST

  • Referenced in 7 articles [sw17318]
  • gene set test is a differential expression analysis in which a P-value is assigned ... tests are valuable for increasing statistical power, organizing and interpreting results and for relating expression ... test that allows for gene-wise correlation while being applicable to almost any experimental design...
  • NESToolbox

  • Referenced in 7 articles [sw19592]
  • used in most standard time series analysis, cannot be performed for irregular time series directly ... such as the Gaussian-kernel-based cross correlation [1], the nonlinear Gaussian-kernel-based mutual ... similarity estimates as well as nonlinear trends, power spectra and weighted scatterplots. The usage...
  • sensitivity2x2xk

  • Referenced in 1 article [sw20969]
  • focused analysis using a subgroup, one combined analysis using all of the data, correcting ... Because the two component tests are highly correlated, this correction for multiple testing is small ... tests. A simulation evaluates the power of a sensitivity analysis using the adaptive test...
  • jmuOutlier

  • Referenced in 1 article [sw28102]
  • difference between two location parameters, a permutation correlation test, a permutation F-test, the Siegel ... analysis; and includes functions related to the Laplace (double exponential) and triangular distributions. Performs power...
  • Acalpred

  • Referenced in 5 articles [sw16757]
  • have demonstrated that the activities of enzymes correlate with their primary sequences. It is crucial ... discriminate acidic enzymes from alkaline enzymes. The analysis of variance was used to choose ... believe that the AcalPred will become a powerful tool to study enzyme adaptation to acidic...
  • ConvexLAR

  • Referenced in 3 articles [sw16543]
  • active predictors always maintain the same absolute correlation (angle) with the residual vector. Although ... this expository article, we show that the powerful geometric idea of LAR can be generalized ... recurrent event and panel count data analysis, Ada-Boost, and Gaussian graphical model is reconsidered...
  • RSS

  • Referenced in 2 articles [sw23316]
  • multiple regression provide attractive approaches to the analysis of genome-wide association studies (GWAS ... data into the priors, they can increase power and yield new biological insights. However, these ... available. The RSS likelihood requires estimates of correlations among covariates (SNPs), which also ... public databases. We perform Bayesian multiple regression analysis by combining the RSS likelihood with previously...
  • PowerMap

  • Referenced in 1 article [sw24494]
  • software tools for voxel-based massively univariate analysis of neuroimaging data, such as fMRI (functional ... morphometry), very few software tools exist for power and sample size calculation for neuroimaging studies ... correlated voxels, requiring a correction for massive multiple comparisons. Thus, a specialized power calculation tool ... power calculation algorithms based on non-central random field theory. It can also calculate power...
  • nMoldyn

  • Referenced in 2 articles [sw07359]
  • tool set for implementing new analysis modules. This was made possible ... function and its Fourier transform, the reorientational correlation function, and several functions specific to neutron ... compute memory function is a new and powerful feature that allows to relate simulation results...
  • rmscca

  • Referenced in 1 article [sw23317]
  • Resistant multiple sparse canonical correlation. Canonical correlation analysis (CCA) is a multivariate technique that takes ... datasets and forms the most highly correlated possible pairs of linear combinations between them. Each ... grasp intuitively. CCA appears to have quite powerful applications to high-throughput data ... method known as sparse canonical correlation analysis (SCCA), while adding estimation which is resistant...
  • GETA

  • Referenced in 2 articles [sw07067]
  • computation for association. It enables the quantitative analysis of various proposed methods based on association ... successful example to show the power and the flexibility of GETA-based computation for association ... efficiency, also facilitates the content-based correlation among databases. In this paper we describe...