An Unsupervised Multi-Omic Strategy to Investigate Shared and Tissue-Specific Resistance Mechanisms in Cancer

González-Carro, SaraMartín-Revuelta, SamuelFernández-Lozano, CarlosLiñares Blanco, José2026-09-012026-09-012025S. González-Carro, S. Martín Revuelta, C. Fernández-Lozano, and J. Liñares-Blanco, "An Unsupervised Multi-Omic Strategy to Investigate Shared and Tissue-Specific Resistance Mechanisms in Cancer" [poster], 20th ASEICA International Congress, 2025.https://hdl.handle.net/2183/49124Poster presentado en: 20th ASEICA International Congress, 8-10 October 2025, Bilbao. https://www.aseica.es/20th-aseica-international-congress[Abstract]: This study presents MIRACS, an unsupervised multi-omic integration framework that analyzes transcriptomic and proteomic data to identify shared, cross-lineage molecular programs associated with cancer drug resistance.eng© 2025Multi-omics integrationCancer drug resistanceUnsupervised learningAn Unsupervised Multi-Omic Strategy to Investigate Shared and Tissue-Specific Resistance Mechanisms in Cancerconference outputembargoed access