Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/176643Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Carolina da Silva Madaleno | |
| dc.date.accessioned | 2026-09-16T01:33:34Z | - |
| dc.date.available | 2026-09-16T01:33:34Z | - |
| dc.date.issued | 2026-07-10 | |
| dc.date.submitted | 2026-07-27 | |
| dc.identifier.other | sigarra:796365 | |
| dc.identifier.uri | https://hdl.handle.net/10216/176643 | - |
| dc.language.iso | por | |
| dc.rights | embargoedAccess | |
| dc.subject | Outras ciências da engenharia e tecnologias | |
| dc.subject | Other engineering and technologies | |
| dc.title | A Machine Learning-Based Approach to Improving CD4 T-Cell Epitope Immunogenicity Prediction | |
| dc.type | Dissertação | |
| dc.date.embargo | 2029-07-09 | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias | |
| dc.subject.fos | Engineering and technology::Other engineering and technologies | |
| thesis.degree.discipline | Mestrado em Engenharia e Ciência de Dados | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| rcaap.embargofct | Dados confidenciais | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 796365.pdf Restricted Access | A Machine Learning-Based Approach to Improving CD4 T-Cell Epitope Immunogenicity Prediction | 6.25 MB | Adobe PDF | View/Open |
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