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A Machine Learning-Based Approach Using Multi-omics Data to Predict Metabolic Pathways.

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第一作者： Vidya,Niranjan

第一单位： Department of Biotechnology, R V College of Engineering, Mysuru Road, Kengeri, Bengaluru, India. vidya.n@rvce.edu.in.

作者： Vidya,Niranjan ^[1] ; Akshay,Uttarkar ^[2] ; Aakaanksha,Kaul ^[2] ; Maryanne,Varghese ^[2]

作者单位： Department of Biotechnology, R V College of Engineering, Mysuru Road, Kengeri, Bengaluru, India. vidya.n@rvce.edu.in. ^[1] Department of Biotechnology, R V College of Engineering, Mysuru Road, Kengeri, Bengaluru, India. ^[2]

关键词 Algorithms Integration Machine learning Multi-omics Supervised learning Unsupervised learning

医学主题词算法(Algorithms);代谢网络和途径(Metabolic Networks and Pathways)

DOI 10.1007/978-1-0716-2617-7_19

PMID 36227554

发布时间 2022-10-17

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Methods in molecular biology (Clifton, N.J.)

2023年2553卷

441-452页

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Methods in molecular biology (Clifton, N.J.)

2023年2553卷

441-452页

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A Machine Learning-Based Approach Using Multi-omics Data to Predict Metabolic Pathways.

Methods in molecular biology (Clifton, N.J.)

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Methods in molecular biology (Clifton, N.J.)

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A Machine Learning-Based Approach Using Multi-omics Data to Predict Metabolic Pathways.

Methods in molecular biology (Clifton, N.J.)

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Methods in molecular biology (Clifton, N.J.)

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