Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/144541| Author(s): | Pedro Gil Lima Freitas |
| Title: | Machine Learning-based approaches for microbiome characterization in cancer |
| Issue Date: | 2022-10-11 |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/0jnn-fq71 |
| TID identifier: | 203171233 |
| URI: | https://hdl.handle.net/10216/144541 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 587544.pdf | Machine Learning-based approaches for microbiome characterization in cancer | 26.16 MB | Adobe PDF |  View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.