The METLIN small molecule dataset for machine learning-based retention time prediction

The use of machine learning for identifying small molecules through their retention time’s predictions has been challenging so far. Here the authors combine a large database of liquid chromatography retention time with a deep learning approach to enable accurate metabolites’s identification.

מידע ביבליוגרפי

Principais autores:	Xavier Domingo-Almenara, Carlos Guijas, Elizabeth Billings, J. Rafael Montenegro-Burke, Winnie Uritboonthai, Aries E. Aisporna, Emily Chen, H. Paul Benton, Gary Siuzdak
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2019-12-01
סדרה:	Nature Communications
גישה מקוונת:	https://doi.org/10.1038/s41467-019-13680-7
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!