Inferring Gene Regulatory Networks from Time-Series scRNA-Seq Data via Granger Causal Recurrent Autoencoders

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Cell Biology, Genetics,
scRNA-seq   gene regulatory network   unsupervised learning   Granger causality   recurrent variational autoencoder  

1. Academic Background and Research Motivation In recent years, single-cell RNA sequencing (scRNA-seq) has become one of the most groundbreaking technologies in life sciences and medical research, enabling researchers to capture subtle differences in transcript levels among numerous cells at the resolution of individual cells. This technology has g...

Deciphering the Topological Landscape of Glioma: A Framework Based on Network Theory

Medicine, Neurology, Oncology, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Immunology, Genetics,
glioma   glioma stem cell   gene regulatory network   network dynamics   endogenous network theory   energy landscape  

Deciphering the Topological Landscape of Glioma: A Study Based on a Network Theory Framework Glioma stem cells (GSCs) are recognized as key factors in glioma recurrence and treatment resistance, making them an important focus for new therapeutic approaches. However, the limited understanding of the role of GSCs in the hierarchy of glioma has sparke...