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https://hdl.handle.net/10316/111829
Título: | DELFOS-drug efficacy leveraging forked and specialized networks-benchmarking scRNA-seq data in multi-omics-based prediction of cancer sensitivity | Autor: | Piochi, Luiz Felipe Preto, Antonio J. Moreira, Irina S. |
Data: | 1-Nov-2023 | Editora: | Oxford University Press | Projeto: | UIDB/04539/2020 UIDP/04539/2020 LA/ P/0058/2020 LA/P/0058/2020 SFRH/BD/144966/2019 |
Título da revista, periódico, livro ou evento: | Bioinformatics | Volume: | 39 | Número: | 11 | Resumo: | Motivation: Cancer is currently one of the most notorious diseases, with over 1 million deaths in the European Union alone in 2022. As each tumor can be composed of diverse cell types with distinct genotypes, cancer cells can acquire resistance to different compounds. Moreover, anticancer drugs can display severe side effects, compromising patient well-being. Therefore, novel strategies for identifying the optimal set of compounds to treat each tumor have become an important research topic in recent decades. Results: To address this challenge, we developed a novel drug response prediction algorithm called Drug Efficacy Leveraging Forked and Specialized networks (DELFOS). Our model learns from multi-omics data from over 65 cancer cell lines, as well as structural data from over 200 compounds, for the prediction of drug sensitivity. We also evaluated the benefits of incorporating single-cell expression data to predict drug response. DELFOS was validated using datasets with unseen cell lines or drugs and compared with other state-of-the-art algorithms, achieving a high prediction performance on several correlation and error metrics. Overall, DELFOS can effectively leverage multi-omics data for the prediction of drug responses in thousands of drug–cell line pairs. | URI: | https://hdl.handle.net/10316/111829 | ISSN: | 1367-4811 | DOI: | 10.1093/bioinformatics/btad645 | Direitos: | openAccess |
Aparece nas coleções: | IIIUC - Artigos em Revistas Internacionais I&D CIBB - Artigos em Revistas Internacionais I&D CNC - Artigos em Revistas Internacionais FCTUC Ciências da Vida - Artigos em Revistas Internacionais |
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Ficheiro | Descrição | Tamanho | Formato | |
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DELFOS—drug efficacy leveraging forked and specialized networks—benchmarking scRNA-seq data in multi-omics-based prediction of cancer sensitivity.pdf | 1.51 MB | Adobe PDF | Ver/Abrir |
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