Machine Learning Study Links ENTPD5 to Radioresistance in Liver Cancer
An integrated machine-learning and single-cell study identifies ENTPD5 as a context-dependent candidate marker of radioresistance in hepatocellular carcinoma, with prognostic ...
An integrated machine-learning and single-cell study identifies ENTPD5 as a context-dependent candidate marker of radioresistance in hepatocellular carcinoma, with prognostic ...
A BMC Biology editorial argues that falling costs in sequencing, imaging and gene editing are freeing biologists to study any ...
An exploratory single-cell RNA sequencing study maps androgen receptor-associated cellular states in castration-resistant prostate cancer while explicitly avoiding AR-V7 classification ...
A sweeping methodological review published in Frontiers in Oncology argues that the explosion of public-omics research in gastric cancer has ...
An integrated transcriptomic and computational study identifies THBS1 as a candidate myeloid-associated molecule linked to inflammatory dysregulation and poorer survival ...
A machine-learning model based on six serum proteins diagnosed esophageal squamous cell carcinoma with AUCs of 0.932 and 0.968 in ...
An integrated transcriptomic and tissue-level study links an eight-gene risk score and the immune regulator RGS1 to survival in gastric ...
The AI system Unify connected 125 cell types across seven species spanning more than 700 million years by comparing gene ...
Integrated transcriptomic and cell-line analyses link GSTK1 expression to favorable gastric cancer prognosis and to IL-6/JAK2/STAT3 signaling, glycolysis-related proteins, and ...
Researchers have identified a rare CD4-lineage progenitor in adult mouse bone marrow that generates macrophages, neutrophils and erythroid cells independently ...
Single-cell sequencing and mouse experiments show that PTN-positive glioblastoma cells recruit anti-inflammatory macrophages through a PTN-NCL interaction, creating the immune ...
An integrated computational framework combining multicohort transcriptomics, machine learning, molecular dynamics, and single-cell perturbation identifies coumestrol, CD38, and MAPK8 as ...
A combined bulk and single-cell transcriptomic study identifies FLT3 and AIM2 among immune-associated genes in prostate cancer, while cell-line knockdown ...
A newly identified PI16-expressing reactive endothelial cell state with strong circadian gene activity supports neuronal survival and reduces brain injury ...
A multi-cohort re-analysis of melanoma transcriptomes and single-cell immune data links coordinated checkpoint-gene expression to longer overall survival, treatment-related immune ...
An integrative transcriptomic study has identified an extracellular matrix and perineuronal net-high astrocyte state in major depressive disorder, along with ...
An integrated analysis of human carotid plaque transcriptomes and macrophage experiments suggests that elevated BCAP31 in atherosclerotic lesions may reflect ...
A 69-microRNA signature measured in blood exosomes classified Parkinson's disease with an AUC of 0.952 across cohorts, while multi-omics analyses ...
An integrated single-cell atlas of more than 375,000 endothelial cells from 12 human tissues identifies conserved transcriptional hallmarks of vascular ...
Researchers combined high-purity vesicle proteomics, computational gene expression analysis and optimized immuno-isolation to validate NRXN3 as a candidate marker for ...
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