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Analytical and Bioanalytical Chemistry|March 18, 2023
Forensic identification of sudden cardiac death: a new approach combining metabolomics and machine learningJie Cao, Xue Wei, Ming-Feng Liu, et al.International Journal of Legal Medicine|September 10, 2020
Novel insights into wound age estimation: combined with "up, no change, or down" system and cosine similarity in python environmentLi-Hong Dang, Na Feng, Guo-Shuai An, et al.Analytical Chemistry|August 28, 2024
Novel Strategy for Human Deep Vein Thrombosis Diagnosis Based on Metabolomics and Stacking Machine LearningJie Cao, Guo-Shuai An, Rong-Qi Li, et al.Fa Yi Xue Za Zhi|February 21, 2022
Estimating Postmortem Interval Using Intestinal Microbiota Diversity Based on 16S rRNA High-throughput Sequencing TechnologyJie Cao, Wen-Jin Li, Yi-Fei Wang, et al.International Journal of Legal Medicine|March 29, 2022
Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemiaJie Cao, Jian Li, Zhen Gu, et al.International Journal of Legal Medicine|June 6, 2022
A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniquesXiao-Jun Lu, Jian Li, Xue Wei, et al.Talanta|October 15, 2023
Multi-omics integration strategy in the post-mortem interval of forensic scienceJian Li, Yan-Juan Wu, Ming-Feng Liu, et al.Forensic Science International. Genetics|June 12, 2023
Exploring postmortem succession of rat intestinal microbiome for PMI based on machine learning algorithms and potential use for humansNa Li, Xin-Rui Liang, Shi-Dong Zhou, et al.Pageof 1