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    <dc:creator>Fernandes, Marcelo</dc:creator>
    <dc:title>SARS-CoV-2 CGR Genome Image Dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset comprises image representations generated through the Chaos Game Representation (CGR) of SARS-CoV-2 complete genome sequences. Designed to support a wide array of computational biology and deep learning tasks, it facilitates not only the classification of viral variants but also opens avenues for diverse analytical studies due to its rich, image-based genomic encoding.</dc:description>
    <dc:subject>Chaos Theory</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Image Classification</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:subject>Genome Sequencing</dc:subject>
    <dc:subject>Severe Acute Respiratory Syndrome Coronavirus 2</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0001-8167-5568">Coutinho, Maria</dc:contributor>
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    <dc:identifier>oai:data.mendeley.com/zbk2wz5zsj.1</dc:identifier>
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