Unlocking the secrets of metabolomics with Artificial Intelligence: a comprehensive literature review

• 主要な著者: Karolina Krystyna Kopeć (著者), Federico Cannas (著者), Cristina Piras (著者), Martina Spada (著者), Antonio Noto (著者), Luigi Atzori (著者), Vassilios Fanos (著者)
• フォーマット: 図書
• 出版事項: Hygeia Press di Corridori Marinella, 2024-03-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

This comprehensive review synthesizes the wealth of scientific literature pertaining to the application of Artificial Intelligence (AI) in the field of metabolomics. Over the past decade, AI has played an increasingly pivotal role in deciphering the complexities of metabolomic data, offering novel i...