2026-10-14T13:23:25Z https://www.scidb.cn/oai

10.57760/sciencedb.21878 2025-03-28T11:05:26Z

2025-03-28 肺癌1：Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples doi:10.57760/sciencedb.21878 en This dataset contains molecular concentration data of volatile organic compounds (VOCs) in exhaled breath from lung cancer patients, benign lung nodule patients, and healthy controls. The data was generated using silicon microreactor technology and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) technology, aimed at early detection and multi group classification research of lung cancer lung cancer; volatile organic compounds; breath samples; carbonyl VOCs; machine learning; classification; biomarker; silicon microreactor; FT-ICR-MS lin GUO PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1371/journal.pone.0277431 Science Data Bank