Authors: Liu X, Zhang Z, Tan C, Ai Y, Liu H, Li Y, Yang J, Song Y.
DOI: 10.1186/s41065-025-00528-y
Abstract Summary
Machine learning integration with single-cell RNA sequencing has transformed cellular analysis, with China and the US leading 65% of 3,307 publications. Research evolved from algorithm development to clinical applications like tumor microenvironment analysis. Key challenges include data heterogeneity and model interpretability. Future advances require optimized deep learning and multi-omics integration for precision medicine.
Why Brain? ðŸ§
Machine learning transforms single-cell RNA analysis, enabling precise cellular profiling. Study reveals China-US research dominance and shift from algorithm development to clinical cancer applications.
License: CC BY.
The image is AI-generated for illustrative purposes only. Courtesy of Midjourney.
