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iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms.

, , , , , , и . J. Chem. Inf. Model., 63 (15): 4960-4969 (августа 2023)

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The LAMOST Survey of Background Quasars in the Vicinity of the Andromeda and Triangulum Galaxies -- II. Results from the Commissioning Observations and the Pilot Surveys, , , , , , , , , и 61 other автор(ы). (2013)cite arxiv:1304.3174Comment: 26 pages, 6 figures, AJ accepted.Verifiable local computation on distributed data., , и . SCC@ASIACCS, стр. 3-10. ACM, (2014)Predicting coronary heart disease in Chinese diabetics using machine learning., , , , , , , , , и 4 other автор(ы). Comput. Biol. Medicine, (февраля 2024)The LAMOST Survey of Background Quasars in the Vicinity Fields of the M 31 and M 33 - III. Results from the 2013 Regular Survey, , , , , , , , , и . (2015)cite arxiv:1505.08064Comment: 12 pages, 6 figures, Accepted for publication in a special issue of Research in Astronomy and Astrophysics on LAMOST sciences.Biomimetic Pattern Face Recognition Based on DCT and LDA., , и . AICI (3), том 7004 из Lecture Notes in Computer Science, стр. 170-177. Springer, (2011)iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms., , , , , , и . J. Chem. Inf. Model., 63 (15): 4960-4969 (августа 2023)An Algorithm Based Concurrent Error Detection Scheme for AES., , и . CANS, том 6467 из Lecture Notes in Computer Science, стр. 31-42. Springer, (2010)