• GIFT

  • Referenced in 3 articles [sw19798]
  • toolbox which implements multiple algorithms for independent component analysis of group magneto resonance imaging data...
  • HINT

  • Referenced in 1 article [sw36066]
  • HINT: A Hierarchical Independent Component Analysis Toolbox for Investigating Brain Functional Networks using Neuroimaging Data ... Independent component analysis (ICA) is a popular tool for investigating brain organization in neuroscience research ... introduce a Matlab toolbox, HINT (Hierarchical INdependent component analysis Toolbox), that provides a hierarchical covariate...
  • COVAIN

  • Referenced in 1 article [sw10556]
  • covers analysis of variance, principal components analysis, independent components analysis, clustering and correlation coefficient analysis...
  • EDMeasure

  • Referenced in 2 articles [sw26279]
  • Matteson, D. S. (2017) ; (2) independent component analysis methods based on mutual dependence measures ... conditional mean dependence measures and conditional mean independence tests in Shao, X., and Zhang...
  • ICLUS

  • Referenced in 1 article [sw02611]
  • clustering model for time series via independent component analysis. As a statistical technique, independent components ... data analysis. We apply ICA to transform multivariate time series data into independent components...
  • MSMBuilder

  • Referenced in 2 articles [sw23802]
  • designed with a particular focus on the analysis of atomistic simulations of biomolecular dynamics such ... Markov models and time-structure based independent component analysis. MSMBuilder boasts an easy...
  • mlica2

  • Referenced in 1 article [sw23407]
  • package mlica2: Independent Component Analysis using Maximum Likelihood. An R code implementation of the maximum ... Hyvaerinen, Karhuna, and Oja for independent component analysis...
  • COMPADRE

  • Referenced in 1 article [sw24134]
  • methods [principal component analysis (PCA), Isomaps, independent component analysis (ICA) and non-negative matrix factorization...
  • MILCA

  • Referenced in 1 article [sw23553]
  • Component Analysis: MILCA and SNICA are Independent Component Analysis (ICA)-algorithms which use an accurate ... estimator to find the least dependent components under a linear transformation (SNICA uses non-negativity ... most independent components but also in performance tests, reliability tests and for cluster analysis (when ... signals are not independent). We provide here algorithms for performing ICA (or rather...
  • eegkit

  • Referenced in 1 article [sw26196]
  • data (iv) spatial or temporal Independent Component Analysis of EEG data, and (v) simulating event...
  • FastICA

  • Referenced in 1 article [sw34072]
  • algorithm. FastICA: a fast algorithm for Independent Component Analysis...
  • PyIVA

  • Referenced in 1 article [sw28149]
  • implementation of the independent vector analysis (IVA) algorithm using a multivariate Laplace prior. It uses ... paper. IVA is an extension of independent component analysis (ICA) to multiple statistically-dependent datasets...
  • PearsonICA

  • Referenced in 1 article [sw15399]
  • package PearsonICA: Independent component analysis using score functions from the Pearson system. The Pearson ... based method for blind separation of statistically independent source signals. It has been shown that...
  • svars

  • Referenced in 1 article [sw38309]
  • Phaneuf, L. (2004) ), independent component analysis (Matteson, D. S, Tsay...
  • gpICA

  • Referenced in 1 article [sw01499]
  • geometric approach for nonlinear independent component analysis (ICA) is presented in this paper. Nonlinear environment...
  • VideoCube

  • Referenced in 1 article [sw01733]
  • clips, using the powerful method of “Independent Component Analysis” (ICA). Second, the method is unified...
  • STAN

  • Referenced in 38 articles [sw03348]
  • STAN is a domain-independent planner developed within the Strathclyde Planning Group. It has been ... domain analysis system, TIM, which can be used as a stand-alone component. The extent...
  • R-HINT-E

  • Referenced in 1 article [sw01464]
  • general signal separation algorithms such as independent components analysis...
  • melviewr

  • Referenced in 0 articles [sw18020]
  • neuroimaging analysis software suite that performs independent component analysis (ICA; see ...
  • Hum-PLoc

  • Referenced in 24 articles [sw26863]
  • jackknife cross-validation test and independent dataset test were 81.1% and 85.0%, respectively, which ... stringent datasets. Furthermore, an incisive and compelling analysis was given to elucidate that the overwhelmingly ... database are also annotated with ”cellular component unknown”. The information and clues for predicting subcellular...