Foreshadow 发表于 2025-3-30 09:43:12

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Archipelago 发表于 2025-3-30 14:20:41

1064-3745 al, .Computational Methods for Drug Repurposing. serves as an ideal guide to researchers interested in this vital area of drug development..978-1-4939-8955-3Series ISSN 1064-3745 Series E-ISSN 1940-6029

CRASS 发表于 2025-3-30 19:19:27

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GULF 发表于 2025-3-30 21:20:11

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GUILT 发表于 2025-3-31 01:55:55

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指耕作 发表于 2025-3-31 09:02:59

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FACET 发表于 2025-3-31 13:11:40

A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multrces of biological information simultaneously. The Kronecker regularized least squares with multiple kernel learning (KronRLS-MKL) is a machine learning algorithm that aims at integrating heterogeneous information sources into a single chemogenomic space to predict new drug-target interactions. This

别名 发表于 2025-3-31 14:46:50

Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning,nent relationships among the millions of relationships suggested to the related researchers for further investigation. The main advantages of Heter-LP are the effective integration of input data, eliminating the need for negative samples, and the use of local and global features together. The main s

paradigm 发表于 2025-3-31 17:54:45

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天文台 发表于 2025-3-31 21:51:24

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查看完整版本: Titlebook: Computational Methods for Drug Repurposing; Quentin Vanhaelen Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019