Cancer Gene Identification through Integrating Causal Prompting Large Language Model with Omics Data–Driven Causal Inference

Information Science, Artificial Intelligence, Medicine, Oncology, Life Sciences, Biochemistry, Genetics,
cancer genes   causality   large language model   multi-omics   causal learning  

Cancer gene identification is a core challenge in the fields of basic cancer research and precision medicine. Recently, a research team from Jilin University and Zhejiang Sci-Tech University published an original study titled “Cancer gene identification through integrating causal prompting large language model with omics data–driven causal inferenc...

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models

Information Science, Computer Science, Artificial Intelligence,
entity alignment   knowledge graph   large language model   automatic alignment   predicate proximity graph   deep learning   representation learning  

AutoAlign: A Fully Automated and Efficient Knowledge Graph Alignment Method Driven by Large Language Models Knowledge Graphs (KG) have been widely applied in fields such as question-answering systems, dialogue systems, and recommendation systems. However, different Knowledge Graphs often store the same real-world entities in various forms, leading ...