Effect of missing data on multitask prediction methods
Abstract There has been a growing interest in multitask prediction in chemoinformatics, helped by the increasing use of deep neural networks in this field. This technique is applied to multitarget data sets, where compounds have been tested against different targets, with the aim of developing model...
Gardado en:
| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2018-05-01
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| Series: | Journal of Cheminformatics |
| Assuntos: | |
| Acceso en liña: | http://link.springer.com/article/10.1186/s13321-018-0281-z |
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