IEEE

AI-Driven Transcriptomics: Advancing Gene Expression Analysis and Precision Medicine

Abstract: Transcriptomics, the comprehensive study of RNA transcripts, has transformed our understanding of cellular functions and disease mechanisms by capturing real-time gene expression profiles.
Frontiers

Application of Bioinformatics, Machine Learning, and Artificial Intelligence to Improve Diagnosis, Prognosis and Treatment of Cancer

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...
IEEE

Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering

Abstract: Spatial transcriptomics technology fully leverages spatial location and gene expression information for spatial clustering tasks. However, existing spatial clustering methods primarily ...
Frontiers

Integrated bioinformatics and machine learning reveal pan-apoptosis and immune infiltration signatures in diabetic nephropathy

Background: Diabetic nephropathy (DN) is one of the vascular complications of diabetes and a leading cause of end-stage renal disease (ESRD) and mortality in diabetic patients. PANoptosis has been ...