tICA specifications
Information
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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Maintainer
- person_outline Andrew Teschendorff <>
Publication for tensorial independent component analysis
2018 Genome Biol
PMCID: 5994057
PMID: 29884221
DOI: 10.1186/s13059-018-1455-8
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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