Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination

Takeshi Murata, Takako Yanagisawa, Toshiaki Kurihara, Miku Kaneko, Sana Ota, Ayame Enomoto, Masaru Tomita, Masahiro Sugimoto, Makoto Sunamura, Tetsu Hayashida, Yuko Kitagawa, Hiromitsu Jinno

研究成果: Article査読

59 被引用数 (Scopus)

フィンガープリント

「Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

Pharmacology, Toxicology and Pharmaceutical Science

Biochemistry, Genetics and Molecular Biology

Keyphrases

Food Science

Agricultural and Biological Sciences

Medicine and Dentistry