Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders.
Mol Pharm
; 16(12): 4797-4806, 2019 12 02.
Article
em En
| MEDLINE
| ID: mdl-31618586
Palavras-chave
CNN; EC50; GDSC; IC50; RNN; SMILES; anticancer compounds; attention; computational systems biology; deep learning; drug discovery; drug sensitivity; drug sensitivity prediction; explainability; gene expression; interpretability; lead discovery; machine learning; molecular fingerprints; molecular networks; multimodal; multiscale; personalized medicine; precision medicine
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Mol Pharm
Assunto da revista:
BIOLOGIA MOLECULAR
/
FARMACIA
/
FARMACOLOGIA
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Suíça