Sfoglia per Correlatore MASSEROLI, MARCO
Mostrati risultati da 1 a 5 di 5
Efficient data structures for cross-samples inferences on genomic data
JALILI, VAHID
Generative AI for gene expression: a biologically informed graph neural network approach
2023/2024 Panaccione, Francesca Pia
Imputation of biochemical activity associated with functional elements of the genome produced by epigenomic experiments
2018/2019 GUZZO, FRANCESCO
Investigating deep semi-supervised learning for whole-transcriptome breast cancer subtyping
2018/2019 MARTINS CRISTÓVÃO, FRANCISCO MANUEL
Learning text embeddings on virus sequences for candidate drug discovery
2019/2020 LANZILLOTTA, SIMONE
| Fulltext | Data | Tipo | Titolo | Autore (i) |
|---|---|---|---|---|
| 2016-04-29 | Tesi di Dottorato | Efficient data structures for cross-samples inferences on genomic data | JALILI, VAHID | |
| 2024-12-11 | Tesi di laurea Magistrale | Generative AI for gene expression: a biologically informed graph neural network approach | Panaccione, Francesca Pia | |
| 2019-12-18 | Tesi di laurea Magistrale | Imputation of biochemical activity associated with functional elements of the genome produced by epigenomic experiments | GUZZO, FRANCESCO | |
| 2019-12-18 | Tesi di laurea Magistrale | Investigating deep semi-supervised learning for whole-transcriptome breast cancer subtyping | MARTINS CRISTÓVÃO, FRANCISCO MANUEL | |
| 2020-12-15 | Tesi di laurea Magistrale | Learning text embeddings on virus sequences for candidate drug discovery | LANZILLOTTA, SIMONE |
Mostrati risultati da 1 a 5 di 5
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