Identifying significant metabolic pathways using multi-block partial least-squares analysis
In metabolomics, identification of metabolic pathways altered by disease, genetics, or environmental perturbations is crucial to uncover the underlying biological mechanisms. A number of pathway analysis methods are currently available, which are generally based on equal-probability, topological-cen...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
American Chemical Society
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/87246/ http://dx.doi.org/10.1021/acs.jproteome.9b00793 |
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| Institution: | Universiti Teknologi Malaysia |