A review on metabolomics data analysis for cancer applications
Cancer cells undergo metabolic changes that contribute to tumorigenesis, which can be determined using metabolomics data produced by techniques such as nuclear magnetic resonance and mass spectroscopy, and analyzed through statistical and machine learning methods. Since these data represent well the...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/56378 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/56378 |