Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia

Jie Cao, Jian Li, Zhen Gu, +6

International Journal of Legal Medicine

Metabolic SyndromeSystems BiologyEngineeringData ScienceMetabolic Biomarkers +8

A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques

Xiaojun Lu, Jian Li, Xue Wei, +8

International Journal of Legal Medicine

Novel MethodPhysiologyComputational BiologyMetabolomic ProfilingOmics +8

Multi-omics integration strategy in the post-mortem interval of forensic science

Jian Li, Yan-juan Wu, Mingfeng Liu, +8

Talanta

Death InvestigationForensics AnalysisForensic MedicineForensic AnalysisMedicine +2

Exploring postmortem succession of rat intestinal microbiome for PMI based on machine learning algorithms and potential use for humans

Na Li, Xinrui Liang, Shidong Zhou, +10

Forensic Science International Genetics

DysbiosisMachine Learning AlgorithmsMedicineMicrobiotaGut Microbiology +11

Analysis of sensitivity and specificity: precise recognition of neutrophils during regeneration of contused skeletal muscle in rats

Jia-jia Niu, Guoshuai An, Zhen Gu, +5

Forensic Sciences Research

GPR65 as a potential immune checkpoint regulates the immune microenvironment according to pan-cancer analysis

Liangliang Wang, Lele Sun, Hao Sun, +6

Heliyon

Novel insights into wound age estimation: combined with “up, no change, or down” system and cosine similarity in python environment

Li-hong Dang, Na Feng, Guoshuai An, +5

International Journal of Legal Medicine

AgingLongevityCosine SimilarityPython EnvironmentBiostatistics +6

Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats

Kang Ren, Liangliang Wang, Liang Wang, +9

Frontiers in Genetics

Muscle FunctionEngineeringSkeletal Muscle TissueGene Regulatory NetworkCellular Physiology +17

Forensic identification of sudden cardiac death: a new approach combining metabolomics and machine learning

Jie Cao, Xue Wei, Ming-Feng Liu, +4

Analytical and Bioanalytical Chemistry