Six-Gene Signature Predicts Breast Cancer Prognosis and Immune Status
A new six-gene signature derived from weighted gene co-expression network analysis predicts breast cancer survival and characterizes the tumor immune ...
A new six-gene signature derived from weighted gene co-expression network analysis predicts breast cancer survival and characterizes the tumor immune ...
A machine learning analysis of inflammation and metabolism genes across seven lung adenocarcinoma cohorts identifies the calcium pump gene ATP2A2 ...
Single-cell RNA sequencing of hepatocellular carcinoma reveals that MRC1-positive macrophages, endothelial capillarization, and strengthened PTPRM signaling define the tumor ecosystem ...
A multi-omics study in Nature Communications reports a seven-feature blood-based diagnostic panel and a twelve-transcript prognostic signature that diagnose pediatric ...
Researchers report that mitochondrial quality regulation gene activity defines two prognostically distinct breast cancer subtypes and supports a seven-gene survival ...
Researchers have built a 13-gene lysosome-related signature that predicts survival, immune landscape, and drug responses in lung adenocarcinoma patients.
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 ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine