• iNR-PhysChem

  • Referenced in 8 articles [sw26878]
  • were derived from a physical-chemical matrix via a series of auto-covariance and cross ... covariance transformations. It was observed that the overall success rate achieved by iNR-PhysChem ... knirps like. These rates were derived by the jackknife tests on a stringent benchmark dataset...
  • graphsim

  • Referenced in 1 article [sw33833]
  • gene expression) from a sigma covariance matrix derived from a graph structure in ’igraph’ objects...
  • LogXact

  • Referenced in 16 articles [sw12105]
  • complexity of conducting regression analysis over multiple covariates is well-documented. The challenge only intensifies ... confident of in their results derived from LogXact’s advanced regression techniques...
  • dagitty

  • Referenced in 6 articles [sw16593]
  • package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications...
  • tRNAscan-SE

  • Referenced in 16 articles [sw08005]
  • work represents a practical application of RNA covariance models, which are general, probabilistic secondary structure ... tRNA homologues such as selenocysteine tRNAs, tRNA-derived repetitive elements and tRNA pseudo-genes...
  • Tensorial

  • Referenced in 2 articles [sw20318]
  • Levi-Civita routines. Partial, covariant, total, absolute and Lie derivative routines. Christoffel, Riemann, Ricci, Einstein...
  • Phylo-MCOA

  • Referenced in 2 articles [sw18727]
  • individual ordinations (i.e., derived from distance matrices) that maximize a covariance function. The method...
  • VCA

  • Referenced in 1 article [sw16077]
  • quadratic forms). The covariance matrix of variance components can be derived, which is used ... computed at specific values of covariables and with custom weighting schemes for factor variables...
  • KBAL

  • Referenced in 3 articles [sw36072]
  • biased if any function of the covariates influencing the outcome has a different mean ... specification searches or balance tests. The weights derived by kernel balancing (1) achieve approximate mean ... large class of smooth functions of the covariates, and (2) approximately equalize the multivariate densities...
  • pycma

  • Referenced in 2 articles [sw37047]
  • tools. The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a stochastic derivative-free numerical...
  • ExaGeoStat

  • Referenced in 6 articles [sw30062]
  • simulation based on partial differential equations derived from first-principles modeling, ExaGeoStat employs a statistical ... function, which operates on a large dense covariance matrix. Generated by the parametrizable Matérn covariance...
  • CorrPoisson

  • Referenced in 1 article [sw37265]
  • variance-covariance matrix of the overdispersion part are then derived from which correlated Poisson data...
  • EXOFAST

  • Referenced in 3 articles [sw27087]
  • separately, and characterize the parameter uncertainties and covariances with a Differential Evolution Markov Chain Monte ... code incorporates both data sets to simultaneously derive stellar parameters along with the transit...
  • LNA++

  • Referenced in 1 article [sw27627]
  • fast derivation and simulation of the LNA including the computation of means, covariances, and temporal...
  • SympGPR

  • Referenced in 1 article [sw39176]
  • valued covariance function. Based on earlier work on spline interpolation, we observe derivatives...
  • VaxiJen

  • Referenced in 3 articles [sw26855]
  • prediction, which is based on auto cross covariance (ACC) transformation of protein sequences into uniform ... tumour protein datasets were used to derive models for prediction of whole protein antigenicity. Every...
  • tree-structured-covariance

  • Referenced in 3 articles [sw23327]
  • Taxonomic prediction with tree-structured covariances. Taxonomies have been proposed numerous times in the literature ... this paper, we show how data-derived taxonomies may be used in a structured prediction ... prove the equivalence between tree-structured covariance matrices and taxonomies; (ii) We use this covariance...
  • MetaPSICOV

  • Referenced in 1 article [sw17012]
  • covariation signals from multiple sequence alignments, considers a broad range of other sequence-derived features...
  • qtlbim

  • Referenced in 7 articles [sw17320]
  • applied to Bayesian multiple QTL mapping. A derivation of the DIC is presented for multiple ... design, the number and lengths of chromosomes, covariates, the number of QTL, the type...
  • OSUMC

  • Referenced in 1 article [sw41748]
  • conditional results obtained by conditioning on both covariates and responses. Under our unconditional framework ... developed for our asymptotic theory. We further derive the A-optimal response-free sampling distribution...