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Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid.

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Bibliographic Details
Title: Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid.
Authors: Askr H; Faculty of Computers and Artificial Intelligence, University of Sadat City, Sadat City, Egypt. heba.askr@fcai.usc.edu.eg.; Scientific Research School of Egypt (SRSEG), . heba.askr@fcai.usc.edu.eg., Fayed MAA; Department of Pharmacognosy, Faculty of Pharmacy, University of Sadat City, Sadat City, 32897, Egypt., Farghaly HM; Computer Science Department, Faculty of Science, Minia University, Minya, Egypt.; Scientific Research School of Egypt (SRSEG)., Gomaa MM; Computer Science Department, Faculty of Science, Minia University, Minya, Egypt.; Scientific Research School of Egypt (SRSEG)., Elgeldawi E; Computer Science Department, Faculty of Science, Minia University, Minya, Egypt.; Scientific Research School of Egypt (SRSEG)., Elshaier YAMM; Department of Organic and Medicinal Chemistry, Faculty of Pharmacy, University of Sadat City, Sadat City, 32897, Menoufia, Egypt., Darwish A; Faculty of Science, Helwan University, Cairo, Egypt.; Scientific Research School of Egypt (SRSEG)., Hassanien AE; Faculty of Computer and AI, Cairo University, Giza, Egypt.; Scientific Research School of Egypt (SRSEG).
Source: Scientific reports [Sci Rep] 2025 Jan 17; Vol. 15 (1), pp. 2224. Date of Electronic Publication: 2025 Jan 17.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-024-82483-8