{"entity": "publication", "iuid": "b22f94d7469443e69b2dc22f4f678b5f", "timestamp": "2026-08-22T06:56:43.158Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/b22f94d7469443e69b2dc22f4f678b5f.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/b22f94d7469443e69b2dc22f4f678b5f"}}, "title": "Using unsupervised learning algorithms to identify essential genes associated with SARS-CoV-2 as potential therapeutic targets for COVID-19", "authors": [{"family": "Taheri", "given": "Golnaz", "initials": "G"}, {"family": "Habibi", "given": "Mahnaz", "initials": "M"}], "type": "posted-content", "published": "2022-05-18", "journal": {"issn-l": null}, "abstract": null, "doi": "10.1101/2022.05.18.492443", "pmid": null, "labels": [], "xrefs": [], "notes": [], "created": "2026-08-20T10:11:18.269Z", "modified": "2026-08-20T10:11:18.298Z"}