Graph machine learning in the era of large language models (llms)
Graphs play an important role in representing complex relationships in various domains like
social networks, knowledge graphs, and molecular discovery. With the advent of deep …
social networks, knowledge graphs, and molecular discovery. With the advent of deep …
From Noise to Knowledge: Diffusion Probabilistic Model-Based Neural Inference of Gene Regulatory Networks
Understanding gene regulatory networks (GRNs) is crucial for elucidating cellular
mechanisms and advancing therapeutic interventions. Original methods for GRN inference …
mechanisms and advancing therapeutic interventions. Original methods for GRN inference …
Clustering and visualization of single-cell RNA-seq data using path metrics
Recent advances in single-cell technologies have enabled high-resolution characterization
of tissue and cancer compositions. Although numerous tools for dimension reduction and …
of tissue and cancer compositions. Although numerous tools for dimension reduction and …