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CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph
BACKGROUND: Elucidation of interactive relation between chemicals and genes is of key relevance not only for discovering new drug leads in drug development but also for repositioning existing drugs to novel therapeutic targets. Recently, biological network-based approaches have been proven to be eff...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Bioinformatics |
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| Κύριοι συγγραφείς: | , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7689985/ https://ncbi.nlm.nih.gov/pubmed/33243142 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03899-3 |
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