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  "Version": "1.15.0",
  "Date": "2026-03-09",
  "Title": "RESOLVE: An R package for the efficient analysis of mutational\nsignatures from cancer genomes",
  "Authors@R": "c(\nperson(\"Daniele\", \"Ramazzotti\", role=c(\"aut\"),email=\"daniele.ramazzotti@unimib.it\",\ncomment = c(ORCID = \"0000-0002-6087-2666\")),\nperson(\"Luca\", \"De Sano\", role=c(\"cre\",\"aut\"), email=\"luca.desano@gmail.com\",\ncomment = c(ORCID = \"0000-0002-9618-3774\")))",
  "Description": "Cancer is a genetic disease caused by somatic mutations in\ngenes controlling key biological functions such as cellular\ngrowth and division. Such mutations may arise both through\ncell-intrinsic and exogenous processes, generating\ncharacteristic mutational patterns over the genome named\nmutational signatures. The study of mutational signatures have\nbecome a standard component of modern genomics studies, since\nit can reveal which (environmental and endogenous) mutagenic\nprocesses are active in a tumor, and may highlight markers for\ntherapeutic response. Mutational signatures computational\nanalysis presents many pitfalls. First, the task of determining\nthe number of signatures is very complex and depends on\nheuristics. Second, several signatures have no clear etiology,\ncasting doubt on them being computational artifacts rather than\ndue to mutagenic processes. Last, approaches for signatures\nassignment are greatly influenced by the set of signatures used\nfor the analysis. To overcome these limitations, we developed\nRESOLVE (Robust EStimation Of mutationaL signatures Via\nrEgularization), a framework that allows the efficient\nextraction and assignment of mutational signatures. RESOLVE\nimplements a novel algorithm that enables (i) the efficient\nextraction, (ii) exposure estimation, and (iii) confidence\nassessment during the computational inference of mutational\nsignatures.",
  "Encoding": "UTF-8",
  "License": "file LICENSE",
  "URL": "https://github.com/danro9685/RESOLVE",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:59:14 UTC",
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  "Author": "Daniele Ramazzotti [aut] (ORCID:\n<https://orcid.org/0000-0002-6087-2666>),\nLuca De Sano [cre, aut] (ORCID:\n<https://orcid.org/0000-0002-9618-3774>)",
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