Area of research
Molecular Biology · Insect Science
Research interest
Research focused on Metabolomics and Microbiome, with related work in Skeletal muscle, Inference, Stacking. Notable publications include 'Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia', 'Multi-omics integration strategy in the post-mortem interval of forensic science', and 'A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques'.
Artificial intelligence in forensic pathology: Multi-organ postmortem pathomics for estimating postmortem interval
Novel Strategy for Human Deep Vein Thrombosis Diagnosis Based on Metabolomics and Stacking Machine Learning
Multi-omics integration strategy in the post-mortem interval of forensic science
Exploring postmortem succession of rat intestinal microbiome for PMI based on machine learning algorithms and potential use for humans
GPR65 as a potential immune checkpoint regulates the immune microenvironment according to pan-cancer analysis
Forensic identification of sudden cardiac death: a new approach combining metabolomics and machine learning
Combined metabolomics and tandem machine-learning models for wound age estimation: a novel analytical strategy
Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia
A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques
Wound age estimation based on next-generation sequencing: Fitting the optimal index system using machine learning
Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats
Estimating Postmortem Interval Using Intestinal Microbiota Diversity Based on 16S rRNA High-throughput Sequencing Technology.
Analysis of sensitivity and specificity: precise recognition of neutrophils during regeneration of contused skeletal muscle in rats
Novel insights into wound age estimation: combined with “up, no change, or down” system and cosine similarity in python environment