codemeta.json

{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "SoftwareSourceCode",
    "license": "https://spdx.org/licenses/MIT",
    "codeRepository": "git+https://github.com/RECeSS-EU-Project/drug-repurposing-datasets.git",
    "dateCreated": "2023-05-29",
    "datePublished": "2023-05-29",
    "dateModified": "2023-05-29",
    "downloadUrl": "https://github.com/RECeSS-EU-Project/drug-repurposing-datasets/archive/refs/heads/master.zip",
    "issueTracker": "https://github.com/RECeSS-EU-Project/drug-repurposing-datasets/issues",
    "name": "drug-repurposing-datasets",
    "version": "2.0.0",
    "identifier": "10.5281/zenodo.8014774",
    "description": "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 (https://doi.org/10.5281/zenodo.7982969) and PREDICT dataset (https://doi.org/10.5281/zenodo.7982964).",
    "applicationCategory": "Drug development",
    "releaseNotes": "This version is updated with versions of the different databases and knowledge as of May 2023.",
    "funding": "RECeSS - Robust Explainable Controllable Standard for drug Screening (101102016)",
    "developmentStatus": "active",
    "isPartOf": "https://recess-eu-project.github.io/",
    "readme": "https://github.com/RECeSS-EU-Project/drug-repurposing-datasets/blob/master/README.md",
    "softwareVersion": "2.0.0",
    "funder": {
        "@type": "Organization",
        "name": "European Union's Horizon 2020 research and innovation programme"
    },
    "keywords": [
        "collaborative filtering",
        "dataset",
        "drug repurposing",
        "science reproducibility"
    ],
    "programmingLanguage": [
        "Python 3"
    ],
    "softwareRequirements": [
        "nordic>=2.4.2",
        "pandas>=1.1.4",
        "numpy>=1.19.4",
        "scipy>=1.5.4",
        "bs4>=0.0.1",
        "pubchempy>=1.0.4",
        "joblib>=1.0.1",
        "epam.indigo>=1.4.3",
        "scikit-learn>=0.24.0",
        "biopython>=1.78",
        "cmapPy>=4.0.1",
        "selenium>=4.9.1",
        "tqdm>=4.58.0",
        "requests-html>=0.10.0",
        "obonet>=0.3.0",
        "networkx>=2.6.3",
        "nbconvert[qtpdf]"
    ],
    "author": [
        {
            "@type": "Person",
            "@id": "https://orcid.org/0000-0003-3238-0258",
            "givenName": "Clémence",
            "familyName": "Réda",
            "email": "clemence.reda@uni-rostock.de",
            "affiliation": {
                "@type": "Organization",
                "name": "Systems Biology and Informatics, University of Rostock, Rostock, Germany"
            }
        }
    ],
    "maintainer": [
        {
            "@type": "Person",
            "@id": "https://orcid.org/0000-0003-3238-0258",
            "givenName": "Clémence",
            "familyName": "Réda",
            "email": "clemence.reda@uni-rostock.de",
            "affiliation": {
                "@type": "Organization",
                "name": "Systems Biology and Informatics, University of Rostock, Rostock, Germany"
            }
        }
    ]
}