A research team at KAIST has identified the core gene expression networks regulated by key proteins that fundamentally drive phenomena such as cancer development, metastasis, tissue differentiation ...

Professor Hirohide Saito (Department of Life Science Frontiers at CiRA / The University of Tokyo) and Assistant Professor ...

These models are based on graph neural networks and helps to uncover the effects of cell tissue niche composition on gene expression without loss of spatial information.

Gene expression in the human brain: cell types become more specialized, not just more numerous Date: January 2, 2025 Source: University of California - Santa Barbara Summary: Our brain is arguably ...

Recently, Quantitative Biology published an approach entitled "Gene Regulatory Network Inference based on Causal Discovery Integrating with Graph Neural Network", that leverages graph ...

Genes are involved in the development of many illnesses, including cancer, which can develop when a mutated gene is expressed, or switches on, or when a tumor-suppressing gene is turned off. The study ...

A New AI Tool Predicts Gene Expression in a Single Cell An artificial intelligence tool, scGPT, can identify cell types, predict the effects of disrupting genes, and pinpoint which genes interact with ...

The duration of expression of the gene Cdx2 is tightly regulated by a newly identified DNA sequence element called an “attenuator.” ...

A research team has identified the core gene expression networks regulated by key proteins that fundamentally drive phenomena such as cancer development, metastasis, tissue differentiation from ...