Macrophage Gene Signatures Predict Colorectal Cancer Prognosis, Machine Learning Study Finds
By integrating bulk and single-cell RNA sequencing with machine learning, researchers in China have identified a nine-gene macrophage signature that ...
By integrating bulk and single-cell RNA sequencing with machine learning, researchers in China have identified a nine-gene macrophage signature that ...
A new computational study links the common cosmetic preservative methylparaben to five key breast cancer signaling proteins and unveils a ...
Researchers built a machine learning gene signature combining RNA modification and programmed cell death biology that predicts survival and immunotherapy ...
A comprehensive profiling study links the ac4C RNA modification to aggressive colorectal cancer and identifies CERCAM in cancer-associated fibroblasts as ...
Single-cell RNA sequencing of post-chemotherapy AML bone marrow has identified five macrophage polarization states whose abundance tracks with treatment response ...
Researchers at Sun Yat-Sen University have developed a three-gene signature based on platinum resistance biology that predicts overall survival and ...
A new study links fibroblast-derived migrasome programs and the protein TSPAN4 to gastric cancer progression and builds a highly accurate ...
A new study identifies a four-gene expression signature linked to young age that independently predicts recurrence risk in breast cancer.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine