Network Analysis Pinpoints Five Hub Genes Steering Hodgkin Lymphoma Pathways
An integrative bioinformatics study of 3,180 Hodgkin Lymphoma-associated genes identified TP53, STAT3, AKT1, EGFR and IL6 as the most highly ...
An integrative bioinformatics study of 3,180 Hodgkin Lymphoma-associated genes identified TP53, STAT3, AKT1, EGFR and IL6 as the most highly ...
A multi-database bioinformatics study identifies the long non-coding RNA TMPO-AS1 as overexpressed in lung adenocarcinoma and linked to poor survival ...
A hybrid GPT-Neo transformer and Random Forest approach achieved 97 percent accuracy in detecting promoters in Agrobacterium tumefaciens.
Researchers developed laveau, an algorithm that converts KEGG RCLASS annotations into double-pushout graph transformation rules and atom-to-atom maps for thousands ...
Researchers have introduced a statistical model designed to predict disease from microbiome data pooled across many studies, addressing a persistent ...
PathwayDenester re-evaluates enriched pathways by testing whether their significance depends on overlapping, more significant terms, filtering out 40 to 90 ...
An integrative single-cell and bulk transcriptomic analysis identified an eight-gene non-LSC17 companion program associated with LSC17-high acute myeloid leukemia and ...
A six-gene endothelial cell signature built from single-cell RNA sequencing data predicts survival outcomes and reveals distinct tumor microenvironment communication ...
A computational study identified KRT14 and MMP10 as macrophage-associated candidate biomarkers of chemoradiotherapy response in esophageal squamous cell carcinoma.
A computational pan-cancer analysis links overexpression of the RPA gene family to worse survival and an immunosuppressive tumor microenvironment in ...
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© 2025 Scienmag - Science Magazine