يعرض 4,761 - 4,780 نتائج من 4,823 نتيجة بحث عن '(( algorithm within function ) OR ( ((algorithm python) OR (algorithm a)) function ))*', وقت الاستعلام: 0.64s تنقيح النتائج
  1. 4761

    Data Sheet 1_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.zip حسب Binyu Wang (7375019)

    منشور في 2025
    "…Objective<p>Lung adenocarcinoma (LUAD) continues to be a primary cause of cancer-related mortality globally, highlighting the urgent need for novel insights finto its molecular mechanisms. …"
  2. 4762

    Data Sheet 2_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf حسب Binyu Wang (7375019)

    منشور في 2025
    "…Objective<p>Lung adenocarcinoma (LUAD) continues to be a primary cause of cancer-related mortality globally, highlighting the urgent need for novel insights finto its molecular mechanisms. …"
  3. 4763

    Data Sheet 3_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf حسب Binyu Wang (7375019)

    منشور في 2025
    "…Objective<p>Lung adenocarcinoma (LUAD) continues to be a primary cause of cancer-related mortality globally, highlighting the urgent need for novel insights finto its molecular mechanisms. …"
  4. 4764

    Table 3_Combining WGCNA and machine learning to identify mechanisms and biomarkers of hyperthyroidism and atrial fibrillation.xlsx حسب Linyuan Wang (359295)

    منشور في 2025
    "…Differential gene analysis was performed using the “limma” package, and overlapping genes shared by both diseases were identified through weighted gene co-expression network analysis (WGCNA), followed by functional enrichment analysis. Machine learning algorithms were also applied to identify key biomarkers. …"
  5. 4765

    Table 4_Combining WGCNA and machine learning to identify mechanisms and biomarkers of hyperthyroidism and atrial fibrillation.docx حسب Linyuan Wang (359295)

    منشور في 2025
    "…Differential gene analysis was performed using the “limma” package, and overlapping genes shared by both diseases were identified through weighted gene co-expression network analysis (WGCNA), followed by functional enrichment analysis. Machine learning algorithms were also applied to identify key biomarkers. …"
  6. 4766

    Table 5_Combining WGCNA and machine learning to identify mechanisms and biomarkers of hyperthyroidism and atrial fibrillation.docx حسب Linyuan Wang (359295)

    منشور في 2025
    "…Differential gene analysis was performed using the “limma” package, and overlapping genes shared by both diseases were identified through weighted gene co-expression network analysis (WGCNA), followed by functional enrichment analysis. Machine learning algorithms were also applied to identify key biomarkers. …"
  7. 4767

    Table 1_Combining WGCNA and machine learning to identify mechanisms and biomarkers of hyperthyroidism and atrial fibrillation.xlsx حسب Linyuan Wang (359295)

    منشور في 2025
    "…Differential gene analysis was performed using the “limma” package, and overlapping genes shared by both diseases were identified through weighted gene co-expression network analysis (WGCNA), followed by functional enrichment analysis. Machine learning algorithms were also applied to identify key biomarkers. …"
  8. 4768

    Data Sheet 1_Comprehensive bioinformatics analysis identifies metabolic and immune-related diagnostic biomarkers shared between diabetes and COPD using multi-omics and machine lear... حسب Qianqian Liang (1521904)

    منشور في 2025
    "…Multiple machine learning algorithms identified 4 shared biomarkers for COPD and diabetes, including CADPS, EDNRB, THBS4 and TMEM27. …"
  9. 4769

    Table 2_Combining WGCNA and machine learning to identify mechanisms and biomarkers of hyperthyroidism and atrial fibrillation.xlsx حسب Linyuan Wang (359295)

    منشور في 2025
    "…Differential gene analysis was performed using the “limma” package, and overlapping genes shared by both diseases were identified through weighted gene co-expression network analysis (WGCNA), followed by functional enrichment analysis. Machine learning algorithms were also applied to identify key biomarkers. …"
  10. 4770

    AP-2α 相关研究 حسب Ya-Hong Wang (21080642)

    منشور في 2025
    "…</a>The algorithms for Figures B, C, and D are the same as Figure A.…"
  11. 4771

    DataSheet1_Identification of potential auxin response candidate genes for soybean rapid canopy coverage through comparative evolution and expression analysis.zip حسب Deisiany Ferreira Neres (10484791)

    منشور في 2024
    "…Further development of this and similar algorithms for defining and quantifying tissue- and phenotype-specificity in gene expression may allow expansion of diversity in valuable phenotypes in important crops.…"
  12. 4772

    Data Sheet 1_Identification and validation of cellular senescence-related genes and immune cell infiltration characteristics in intervertebral disc degeneration.pdf حسب Hao Li (31608)

    منشور في 2025
    "…SRDEGs were analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). A protein–protein interaction (PPI) network was also drawn, and the hub SRDEGs were obtained using 11 different algorithms. …"
  13. 4773

    Supplementary file 1_Socioeconomic status and lifestyle as factors of multimorbidity among older adults in China: results from the China Health and Retirement Longitudinal Survey.d... حسب Wei Gong (112494)

    منشور في 2025
    "…Socioeconomic and functional variables were dominant factors associated with multimorbidity, suggesting structural roots of health inequality. …"
  14. 4774

    Image 1_Exercise-related immune gene signature for hepatocellular carcinoma: machine learning and multi-omics analysis.pdf حسب Cheng Pu (14791088)

    منشور في 2025
    "…</p>Objective<p>This study aims to construct a machine learning-based prognostic signature using exercise-related immune genes (EIGs) to predict prognosis in HCC.…"
  15. 4775

    Data Sheet 1_Exercise-related immune gene signature for hepatocellular carcinoma: machine learning and multi-omics analysis.xlsx حسب Cheng Pu (14791088)

    منشور في 2025
    "…</p>Objective<p>This study aims to construct a machine learning-based prognostic signature using exercise-related immune genes (EIGs) to predict prognosis in HCC.…"
  16. 4776

    Data Sheet 1_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.docx حسب Yifan Wang (380120)

    منشور في 2025
    "…Comprehensive genomic profiling revealed a unique quadruple mutation signature: ASXL1 p.G646Wfs*12 (9.8% VAF), JAK2 p.R683G (17.5%), and CBL p.R149Q (16.2%), with preserved karyotype. …"
  17. 4777

    Table 1_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.xlsx حسب Yifan Wang (380120)

    منشور في 2025
    "…Comprehensive genomic profiling revealed a unique quadruple mutation signature: ASXL1 p.G646Wfs*12 (9.8% VAF), JAK2 p.R683G (17.5%), and CBL p.R149Q (16.2%), with preserved karyotype. …"
  18. 4778

    Data Sheet 2_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.pdf حسب Yifan Wang (380120)

    منشور في 2025
    "…Comprehensive genomic profiling revealed a unique quadruple mutation signature: ASXL1 p.G646Wfs*12 (9.8% VAF), JAK2 p.R683G (17.5%), and CBL p.R149Q (16.2%), with preserved karyotype. …"
  19. 4779

    Image 4_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg حسب Jiafeng Peng (22116253)

    منشور في 2025
    "…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"
  20. 4780

    Table 4_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx حسب Jiafeng Peng (22116253)

    منشور في 2025
    "…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"