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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582521/ https://www.ncbi.nlm.nih.gov/pubmed/31218493 http://dx.doi.org/10.1186/s13321-019-0364-5 |