Arslan Erdengasileng

PXN improves cross-platform gene expression data integration by removing technology-specific biases and enhancing differential expression analysis.

The paper constructs a comprehensive biomedical knowledge graph (iKraph) using PubMed abstracts and integrates it with public databases to enable AI-powered knowledge discovery, demonstrating its utility in drug repurposing.

The paper develops a hybrid system for chemical identification and indexing in full-text articles using BERT-based methods and dictionary matching, achieving high F1 scores on chemical NER and normalization.