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DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis

Medicine and Health

DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis

Y. Liu, Y. Yang, et al.

Discover the groundbreaking DeepRTAlign, a deep learning-based retention time alignment tool that enhances identification sensitivity in LC-MS analyses without sacrificing quantitative accuracy. This innovative research reveals its effectiveness in predicting hepatocellular carcinoma recurrence, showcasing its potential in biological analyses. Conducted by Yi Liu, Yun Yang, Wendong Chen, Feng Shen, Linhai Xie, Yingying Zhang, Yuanjun Zhai, Fuchu He, Yunping Zhu, and Cheng Chang.

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