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 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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