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Showing 161 - 180 results of 187 for search '(( ct ((values decrease) OR (largest decrease)) ) OR ( via lasso decrease ))', query time: 0.29s Refine Results
  1. 161

    <b>Mystery of Deep Soil Organic Carbon Dynamics Uncovered through Long-term Conservation Tillage Experiments</b> by Jianye Li (8914520)

    Published 2025
    “…</a> Plant-derived carbon showed increased stability in the deep soil, as evidenced by decreased (Ac/Al)s values (-58%) and (Ac/Al)v values (-28%) and a 84% rise in V-type phenols under NT. …”
  2. 162

    Clustering and heatmap of samples and genes. by Mojdeh Akbarzadeh Lelekami (21144101)

    Published 2025
    “…Red and green colors indicate increased and decreased expression in response to stress, respectively. …”
  3. 163

    Table 2_Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degeneration.xlsx by Meng Yi (7853249)

    Published 2025
    “…</p>Methods<p>This study employed integrated bioinformatics (WGCNA, machine learning - LASSO, RF, ANN) on human T2DM and IDD transcriptomic datasets, alongside scRNA-seq analysis of diabetic mouse nucleus pulposus (NP) tissue, to identify key drivers of diabetes-associated IDD.…”
  4. 164

    Supplementary file 1_Explainable machine learning model predicts response to adjuvant therapy after radical cystectomy in bladder cancer.docx by Jian Hou (93442)

    Published 2025
    “…Model performance was assessed via area under the ROC curve (AUC), and Shapley Additive Explanations (SHAP) were used for model interpretability.…”
  5. 165

    Data Sheet 2_Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degeneration.pdf by Meng Yi (7853249)

    Published 2025
    “…</p>Methods<p>This study employed integrated bioinformatics (WGCNA, machine learning - LASSO, RF, ANN) on human T2DM and IDD transcriptomic datasets, alongside scRNA-seq analysis of diabetic mouse nucleus pulposus (NP) tissue, to identify key drivers of diabetes-associated IDD.…”
  6. 166

    Data Sheet 1_Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degeneration.pdf by Meng Yi (7853249)

    Published 2025
    “…</p>Methods<p>This study employed integrated bioinformatics (WGCNA, machine learning - LASSO, RF, ANN) on human T2DM and IDD transcriptomic datasets, alongside scRNA-seq analysis of diabetic mouse nucleus pulposus (NP) tissue, to identify key drivers of diabetes-associated IDD.…”
  7. 167

    Table 4_Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degeneration.xlsx by Meng Yi (7853249)

    Published 2025
    “…</p>Methods<p>This study employed integrated bioinformatics (WGCNA, machine learning - LASSO, RF, ANN) on human T2DM and IDD transcriptomic datasets, alongside scRNA-seq analysis of diabetic mouse nucleus pulposus (NP) tissue, to identify key drivers of diabetes-associated IDD.…”
  8. 168

    Table 3_Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degeneration.xlsx by Meng Yi (7853249)

    Published 2025
    “…</p>Methods<p>This study employed integrated bioinformatics (WGCNA, machine learning - LASSO, RF, ANN) on human T2DM and IDD transcriptomic datasets, alongside scRNA-seq analysis of diabetic mouse nucleus pulposus (NP) tissue, to identify key drivers of diabetes-associated IDD.…”
  9. 169

    Table 1_Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degeneration.xlsx by Meng Yi (7853249)

    Published 2025
    “…</p>Methods<p>This study employed integrated bioinformatics (WGCNA, machine learning - LASSO, RF, ANN) on human T2DM and IDD transcriptomic datasets, alongside scRNA-seq analysis of diabetic mouse nucleus pulposus (NP) tissue, to identify key drivers of diabetes-associated IDD.…”
  10. 170

    Image_1_Impact of fat intake on [18F]AlF-NOTA-FAPI-04 uptake in normal abdominal organs.TIF by Jiashun Dai (20137596)

    Published 2024
    “…The mean standardized uptake value (SUV<sub>mean</sub>) of gallbladder, liver, small intestine and pancreas were measured in <sup>18</sup>F-FAPI and <sup>18</sup>F-FDG PET/CT.…”
  11. 171

    Data Sheet 3_Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.xlsx by Zhaoguang Song (20778602)

    Published 2025
    “…Moreover, we built a telomere-related signature via univariate and LASSO Cox regression analyses, and analyzed the correlation of telomere-related signature with TME. …”
  12. 172

    Image 1_Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.jpeg by Zhaoguang Song (20778602)

    Published 2025
    “…Moreover, we built a telomere-related signature via univariate and LASSO Cox regression analyses, and analyzed the correlation of telomere-related signature with TME. …”
  13. 173

    Data Sheet 2_Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.xlsx by Zhaoguang Song (20778602)

    Published 2025
    “…Moreover, we built a telomere-related signature via univariate and LASSO Cox regression analyses, and analyzed the correlation of telomere-related signature with TME. …”
  14. 174

    Data Sheet 1_Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.xlsx by Zhaoguang Song (20778602)

    Published 2025
    “…Moreover, we built a telomere-related signature via univariate and LASSO Cox regression analyses, and analyzed the correlation of telomere-related signature with TME. …”
  15. 175

    Table 1_Intra-tumor and peritumoral radiomics and deep learning based on ultrasound for differentiating fibroadenoma and phyllodes tumor: a multicenter study.docx by Guoxiu Lu (15393095)

    Published 2025
    “…Optimal features were selected via LASSO and Boruta algorithms. Integrated models combining radiomics (ITR ± PTR) with clinical factors (diameter, Bi-RADS) were developed. …”
  16. 176

    Data Sheet 1_Identification of key genes and immune infiltration mechanisms in limb ischemia-reperfusion injury: a bioinformatics and experimental study.docx by Qiyun Shi (5531150)

    Published 2025
    “…</p>Materials and methods<p>Transcriptomic data from CTGF-stimulated cardiac myocytes (GSE36073) were analyzed as a surrogate for limb IRI due to shared pathological mechanisms. Random forest, LASSO regression, algorithms identified feature genes, validated in a rat limb IRI model using RT-qPCR, and histology. …”
  17. 177

    Data Sheet 1_Decoding the hypoxia-exosome-immune triad in OSA: PRCP/UCHL1/BTG2-driven metabolic dysregulation revealed by interpretable machine learning.zip by Weilong Ye (12984647)

    Published 2025
    “…</p>Methods<p>Transcriptomic data from two GEO datasets (GSE135917 and GSE38792) were integrated and analyzed using differential expression analysis via the limma package. Key biomarkers were identified using feature selection techniques including LASSO and Random Forest. …”
  18. 178

    Supplementary Material for: Ectopic ACTH-dependent Cushing’s syndrome Emerging at a Late Stage of a Mixed Histology Neuroendocrine Neoplasm: a case report by Meyers M. (19672471)

    Published 2024
    “…Urinary free cortisol (UFC) measurement was 21-fold the upper limit of the reference range (3614.0 nmol/24h), and cortisol concentration did not decreases after 1mg-dexamethasone suppression test (1812 nmol/L for an expected value < 50 nmol/L), confirming the ACTH-dependent Cushing's syndrome (CS). …”
  19. 179

    Data Sheet 1_Traditional Chinese medicine injections with Tonifying Qi, equivalent effect of regulating energy metabolism, for acute myocardial infarction: a systematic review and... by Huiwen Zhou (6904979)

    Published 2025
    “…The meta-analysis results demonstrated that the combined application of TCMi-TQ + CT, compared with CT, significantly reduced in-hospital mortality in AMI patients [RR = 0.58, 95% CI (0.51, 0.67), P < 0.05], decreased the incidence of malignant arrhythmia [RR = 0.51, 95%CI(0.42, 0.63), P < 0.05], increased LVEF [MD = 6.52, 95%CI(5.54, 7.50), P < 0.05], and decreased the incidence of adverse events [RR = 0.70, 95%CI(0.60, 0.81), P < 0.05]. …”
  20. 180

    Data Sheet 3_Traditional Chinese medicine injections with Tonifying Qi, equivalent effect of regulating energy metabolism, for acute myocardial infarction: a systematic review and... by Huiwen Zhou (6904979)

    Published 2025
    “…The meta-analysis results demonstrated that the combined application of TCMi-TQ + CT, compared with CT, significantly reduced in-hospital mortality in AMI patients [RR = 0.58, 95% CI (0.51, 0.67), P < 0.05], decreased the incidence of malignant arrhythmia [RR = 0.51, 95%CI(0.42, 0.63), P < 0.05], increased LVEF [MD = 6.52, 95%CI(5.54, 7.50), P < 0.05], and decreased the incidence of adverse events [RR = 0.70, 95%CI(0.60, 0.81), P < 0.05]. …”