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https://hdl.handle.net/10216/170185| Author(s): | Francisco Rodrigues Camões de Magalhães |
| Title: | Deep Learning Models to Predict the Functional Impact of Genomic Variants in Cis-Regulatory Sequences |
| Issue Date: | 2025-10-15 |
| Subject: | Outras ciências da engenharia e tecnologias Other engineering and technologies |
| Scientific areas: | Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias Engineering and technology::Other engineering and technologies |
| TID identifier: | 204113385 |
| URI: | https://hdl.handle.net/10216/170185 |
| Document Type: | Dissertação |
| Rights: | embargoedAccess |
| Embargo End Date: | 2027-10-14 |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 746764.pdf Restricted Access | Deep Learning Models to Predict the Functional Impact of Genomic Variants in Cis-Regulatory Sequences | 28.38 MB | Adobe PDF | View/Open |
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