IEEE

GRNNLink: Predicting gene regulatory links from single-cell RNA-seq data using graph recurrent neural network

Abstract: Single-cell RNA sequencing (scRNA-seq) technology offers unprecedented opportunities for inferring gene regulatory networks (GRNs) at the genome level. However, scRNA-seq data is highly ...
IEEE

Protein-Binding RNA Prediction Based on Integrated Sequence-Structure-Function Pre-Training

Abstract: RNA binding proteins (RBPs) play a crucial role in regulating biological functions through their interactions with specific RNAs, significantly impacting various life processes.
Frontiers

Tumor heterogeneity assessment using single-cell RNA sequencing (scRNA-seq): applications in lung cancer for diagnosis and treatment

Recent progress in single-cell RNA sequencing has led to mechanistic and clinically actionable insight into genetic heterogeneity and tumor progression via transcriptome profiling at single-cell level ...