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The future of plant lectinology: Advanced technologies and computational tools
Published 2025-01-01Subjects: Get full text
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Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma
Published 2025-03-01Subjects: Get full text
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The anti-cancerous mechanism of licochalcone A on human hepatoma cell HepG2 based on the miRNA omics
Published 2023-07-01Get full text
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Immunoregulatory programs in anti‐N‐methyl‐D‐aspartate receptor encephalitis identified by single‐cell multi‐omics analysis
Published 2025-01-01Subjects: Get full text
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HMOX1 as a potential drug target for upper and lower airway diseases: insights from multi-omics analysis
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MiMeJF: Application of Coupled Matrix and Tensor Factorization (CMTF) for Enhanced Microbiome-Metabolome Multi-Omic Analysis
Published 2025-01-01Subjects: Get full text
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Atezolizumab plus bevacizumab in patients with unresectable or metastatic mucosal melanoma: 3‐year survival update and multi‐omics analysis
Published 2025-01-01“…This report updates 3‐year survival outcomes and multi‐omics analysis to identify potential response biomarkers. …”
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Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study
Published 2025-01-01“…This study aims to uncover novel plasma proteins tied to aging, potentially contributing to thyroid cancer, utilizing diverse investigative methodologies.MethodsIn this research, we utilized an integrative omics approach to identify novel plasma proteins associated with immunosenescence in relation to the risk of thyroid cancer. …”
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Identifying MTHFD1 and LGALS4 as Potential Therapeutic Targets in Prostate Cancer Through Multi-Omics Mendelian Randomization Analysis
Published 2025-01-01“…<b>Results:</b> MTHFD1 and LGALS4 were identified as promising therapeutic targets for PRAD, with evidence provided at multi-omics levels. LGALS4 was predominantly expressed in malignant cells and was correlated with enhanced immune checkpoint pathways, increased TIDE scores, and immunotherapy resistance. …”
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Multi-omics reveals that ST6GAL1 promotes colorectal cancer progression through LGALS3BP sialylation
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Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC
Published 2025-02-01Subjects: Get full text
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