{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["39(11)"],"submitter":["Piochi LF"],"funding":["European Regional Development"],"pubmed_abstract":["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"],"journal":["Bioinformatics (Oxford, England)"],"pagination":["btad645"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10627353"],"repository":["biostudies-literature"],"pubmed_title":["DELFOS-drug efficacy leveraging forked and specialized networks-benchmarking scRNA-seq data in multi-omics-based prediction of cancer sensitivity."],"pmcid":["PMC10627353"],"pubmed_authors":["Piochi LF","Preto AJ","Moreira IS"],"additional_accession":[]},"is_claimable":false,"name":"DELFOS-drug efficacy leveraging forked and specialized networks-benchmarking scRNA-seq data in multi-omics-based prediction of cancer sensitivity.","description":"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","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Nov","modification":"2026-07-14T16:50:18.428Z","creation":"2025-04-05T16:23:55.59Z"},"accession":"S-EPMC10627353","cross_references":{"pubmed":["37862234"],"doi":["10.1093/bioinformatics/btad645"]}}