Drug Discovery in Canine Pyometra Disease Identified by Text Mining and Microarray Data Analysis. [PDF]
Wang X, Yu G.
europepmc +1 more source
CircMT‐RNR2 promotes wound healing by enhancing fibroblast proliferation, migration, contraction, and extracellular matrix (ECM) production. It sustains mitochondrial redox balance by stabilizing the antioxidant protein PRDX3, thereby reducing ROS‐induced damage. In diabetic foot ulcers, hypoxia, hyperglycemia, and reduced FGF2 and EGF expression lower
Guanglin Niu +13 more
wiley +1 more source
Integrative analysis of single-cell and microarray data reveals SPI1-centered macrophage regulatory signatures in ulcerative colitis. [PDF]
Yu Y, Yu C, Dai S, Liu Y, Hu L, Lu W.
europepmc +1 more source
Exploring the pathogenesis of colorectal carcinoma complicated with hepatocellular carcinoma via microarray data analysis. [PDF]
Gao T +11 more
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Depletion of the RNA‐Editing Enzyme ADAR1 Invigorates the Antitumor Immunity of NK Cells
ADAR1 is upregulated in NK cells from melanoma patients, impairing their function. Its loss enhances NK cell tumor infiltration and cytotoxicity in vitro and in vivo. Mechanistically, ADAR1 deficiency destabilizes CD38 mRNA to reduce its expression, thereby increasing NK cell mobility and killing, which nominates it as a therapeutic target for NK cell ...
Shuhan Chen +11 more
wiley +1 more source
Analysis of the molecular mechanisms of ulcerative colitis and atherosclerosis by microarray data. [PDF]
Wu M +7 more
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Meta-Analysis of Microarray Data and Their Utility in Dissecting the Mapped QTLs for Heat Acclimation in Rice. [PDF]
Singh BK +11 more
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Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source
ACG-SFE: Adaptive cluster-guided simple, fast, and efficient feature selection for high-dimensional microarray data in binary classification. [PDF]
Tye YW, Chew X, Yusof UK, Tulpar S.
europepmc +1 more source
Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data. [PDF]
Wang Z +5 more
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