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KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
The application of convolutional neural networks (ConvNets) to harness high-content screening images or 2D compound representations is gaining increasing attention in drug discovery. However, existing applications often require large data sets for training, or sophisticated pretraining schemes. Here...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Cheminform |
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| Κύριοι συγγραφείς: | , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Springer International Publishing
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6582521/ https://ncbi.nlm.nih.gov/pubmed/31218493 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-019-0364-5 |
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