About this document
Paper 1 by Hoài Thương is a document available to read on EtoBox.
The document presents SenPred, a machine-learning pipeline designed to classify deeply senescent dermal fibroblast cells using single-cell RNA sequencing data. The study demonstrates that SenPred can accurately detect fibroblast senescence in vivo, particularly when utilizing 3D culture conditions, which better mimic in vivo environments compared to 2D cultures. This proof-of-concept study aims to enhance the detection of senescent cells and has potential implications for addressing age-related health issue
- Author
- Hoài Thương
- Language
- EN