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  1. Comprehensive evaluation of collaborative filtering in drug repurposing Clémence Réda⋆ ORCiD: 0000-0003-3238-0258 Department of Systems Biology and Bioinformatics, University of Rostock, G-18051 Rostock, Germany clemence.reda@uni-rostock.de ⋆Corresponding author Jill-Jênn Vie ORCiD: 0000-0002-9304-2220 Soda Team, Inria Saclay, F-91120 ...
  2. researchsquare.com

    reproducible methodology for comparing collaborative filtering-based drug repurposing. We illustrate this method by comparing 11 models from the literature on eight diverse drug repurposing datasets. Based on this benchmark, we derive guidelines to ensure a fair and comprehensive evaluation of the performance of those models.
  3. researchsquare.com

    Dec 4, 2024We propose a reproducible methodology for comparing collaborative filtering-based drug repurposing. We illustrate this method by comparing 11 models from the literature on eight diverse drug repurposing datasets. Based on this benchmark, we derive guidelines to ensure a fair and comprehensive evaluation of the performance of those models.
  4. recess-eu-project.github.io

    recess-eu-project.github.io

    https://recess-eu-project.github.io

    The RECeSS project aims at bridging the gap between drug research and collaborative filtering algorithms, in order to implement better in silico drug recommender systems and help define more sustainable and transparent drug development for rare diseases. The RECeSS (Robust Explainable Controllable Standard for drug Screening) project is funded by a Marie Skłodowska-Curie Postdoctoral ...
  5. recess-eu-project.github.io

    Jan 26, 2024In particular, collaborative filtering has sparked interest, as this framework allows us to deal with implicit information on drug-disease associations. As popular as drug repurposing might be, the lack of standard training, validation pipelines and benchmark datasets hinders the development and assessment of drug repurposing methods.
  6. This repository is a part of the EU-funded RECeSS project (#101102016), and hosts the notebooks and code files which helped to build the following novel drug repurposing datasets:. TRANSCRIPT dataset . PREDICT dataset . The latest versions (v2.0.0 and v2.0.1 of May 29th, 2023) of those datasets correspond to the current notebooks in folder notebooks/.The notebooks corresponding to the v1.0.0 ...
  7. recess-eu-project.github.io

    Sep 14, 2023Drug repurposing is a paradigm for drug development, where drug discovery focuses on already commercialized molecules. The key idea is that if those molecules are considered, turning them into appropriate and safe drugs for patients is much faster. As described in a previous post, to perform drug repurposing, one has access to reported outcomes of past clinical trials, with possibly additional ...

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