tICA statistics

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Citations per year

Number of citations per year for the bioinformatics software tool tICA

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This map represents all the scientific publications referring to tICA per scientific context
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tICA specifications


Unique identifier OMICS_30485
Name tICA
Alternative name tensorial independent component analysis
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
Maintained Yes




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  • person_outline Andrew Teschendorff

Publication for tensorial independent component analysis

tICA citations


Does motor imagery share neural networks with executed movement: a multivariate fMRI analysis

Front Hum Neurosci
PMCID: 3771114
PMID: 24062666
DOI: 10.3389/fnhum.2013.00564

[…] Analysis was carried out using Tensorial Independent Component Analysis (Beckmann and Smith, ) as implemented in MELODIC (Multivariate Exploratory Linear Decomposition into IC) Version 3.09, part of FSL (FMRIB's Software Library, w […]


Abnormal thalamocortical structural and functional connectivity in juvenile myoclonic epilepsy

PMCID: 3525058
PMID: 23250883
DOI: 10.1093/brain/aws296

[…] context of this analysis, each volume in the 4D image represents the probabilistic tractogram from one thalamic seed voxel; it may be useful to consider the analogy of the more common application of tensorial independent component analysis to the analysis of functional time series, in which each volume reflects time-varying signals. Both the thalamic origin and its spatial connectivity are constr […]

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tICA institution(s)
CAS-MPG Partner Institute for Computational Biology, CAS Key Lab of Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; Department of Women’s Cancer, UCL Elizabeth Garrett Anderson Institute for Women’s Health, University College London, London, UK; UCL Cancer Institute, University College London, London, UK; University of Chinese Academy of Sciences, Beijing, China; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK; University of Turku, Turku, Finland; Vienna University of Technology, Vienna, Austria
tICA funding source(s)
Supported by the Eve Appeal, the Chinese Academy of Sciences, Shanghai Institute of Biological Sciences, a Royal Society Newton Advanced Fellowship (award 164914) and the National Science Foundation of China (31571359).

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