Showing 12,901 - 12,920 results of 12,988 for search '(( algorithm python function ) OR ( ((algorithms using) OR (algorithm using)) function ))', query time: 0.57s Refine Results
  1. 12901

    Table1_Identification of lung adenocarcinoma subtypes and predictive signature for prognosis, immune features, and immunotherapy based on immune checkpoint genes.XLSX by Linbin Hua (15442976)

    Published 2023
    “…The weighted gene co-expression network analysis (WGCNA) was used to obtain the gene modules closely related to the score and two different LUAD clusters were identified based on these module genes by the Non-negative Matrix Factorization (NMF) Algorithm. …”
  2. 12902

    Table3_Identification of lung adenocarcinoma subtypes and predictive signature for prognosis, immune features, and immunotherapy based on immune checkpoint genes.DOCX by Linbin Hua (15442976)

    Published 2023
    “…The weighted gene co-expression network analysis (WGCNA) was used to obtain the gene modules closely related to the score and two different LUAD clusters were identified based on these module genes by the Non-negative Matrix Factorization (NMF) Algorithm. …”
  3. 12903

    Data_Sheet_1_Peripheral Nerve Activation Evokes Machine-Learnable Signals in the Dorsal Column Nuclei.pdf by Alastair J. Loutit (6489977)

    Published 2019
    “…Our objective was to investigate the usefulness of high-frequency (HF) and low-frequency (LF) DCN signal features (SFs) in predicting the nerve from which signals were evoked. …”
  4. 12904

    Image1_Identification of lung adenocarcinoma subtypes and predictive signature for prognosis, immune features, and immunotherapy based on immune checkpoint genes.pdf by Linbin Hua (15442976)

    Published 2023
    “…The weighted gene co-expression network analysis (WGCNA) was used to obtain the gene modules closely related to the score and two different LUAD clusters were identified based on these module genes by the Non-negative Matrix Factorization (NMF) Algorithm. …”
  5. 12905

    DataSheet1_Exploring the bi-directional relationship and shared genes between depression and stroke via NHANES and bioinformatic analysis.docx by Zhanghuan Yang (14951461)

    Published 2023
    “…GO, KEGG, Metascape, GeneMANIA, NetworkAnalyst, and DGIdb were used for functional enrichment, pathway analysis, regulatory network analysis, and candidate drugs analysis. ssGSEA algorithm was used to analyze the immune infiltration.…”
  6. 12906
  7. 12907

    Table2_A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma.XLS by Peng Hong (2828327)

    Published 2022
    “…</p><p>Methods: Transcriptome data and clinical data used in this study come from The Cancer Genome Atlas database. …”
  8. 12908

    Table4_A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma.XLS by Peng Hong (2828327)

    Published 2022
    “…</p><p>Methods: Transcriptome data and clinical data used in this study come from The Cancer Genome Atlas database. …”
  9. 12909

    Table6_A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma.DOCX by Peng Hong (2828327)

    Published 2022
    “…</p><p>Methods: Transcriptome data and clinical data used in this study come from The Cancer Genome Atlas database. …”
  10. 12910

    Datasheet1_TRIM8 as a predictor for prognosis in childhood acute lymphoblastic leukemia based on a signature of neutrophil extracellular traps.docx by Waihin Tin (19440019)

    Published 2024
    “…Subsequently, methods including multivariable Cox algorithms, least absolute shrinkage and selection operator (LASSO), and univariable were utilized to create a risk model predicting prognosis. …”
  11. 12911

    Table5_A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma.XLS by Peng Hong (2828327)

    Published 2022
    “…</p><p>Methods: Transcriptome data and clinical data used in this study come from The Cancer Genome Atlas database. …”
  12. 12912

    Table1_A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma.XLS by Peng Hong (2828327)

    Published 2022
    “…</p><p>Methods: Transcriptome data and clinical data used in this study come from The Cancer Genome Atlas database. …”
  13. 12913

    Table3_A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma.XLS by Peng Hong (2828327)

    Published 2022
    “…</p><p>Methods: Transcriptome data and clinical data used in this study come from The Cancer Genome Atlas database. …”
  14. 12914

    Table1_TRIM8 as a predictor for prognosis in childhood acute lymphoblastic leukemia based on a signature of neutrophil extracellular traps.xlsx by Waihin Tin (19440019)

    Published 2024
    “…Subsequently, methods including multivariable Cox algorithms, least absolute shrinkage and selection operator (LASSO), and univariable were utilized to create a risk model predicting prognosis. …”
  15. 12915

    Table2_TRIM8 as a predictor for prognosis in childhood acute lymphoblastic leukemia based on a signature of neutrophil extracellular traps.docx by Waihin Tin (19440019)

    Published 2024
    “…Subsequently, methods including multivariable Cox algorithms, least absolute shrinkage and selection operator (LASSO), and univariable were utilized to create a risk model predicting prognosis. …”
  16. 12916

    Data_Sheet_1_Multicolor high-resolution whole-brain imaging for acquiring and comparing the brain-wide distributions of type-specific and projection-specific neurons with anatomica... by Zhangheng Ding (9346725)

    Published 2022
    “…We also developed an automatic contour recognition algorithm based on DAPI-staining cytoarchitecture to shorten data acquisition time and reduce data redundancy. …”
  17. 12917

    Table_1_Immune Cell Landscape Identification Associates Intrarenal Mononuclear Phagocytes With Onset and Remission of Lupus Nephritis in NZB/W Mice.DOCX by Bin Li (39349)

    Published 2020
    “…</p>Materials and Methods<p>Genome-wide expression profiles of microarray datasets were downloaded from the Gene Expression Omnibus database. The CIBERSORT algorithm was used to analyze the intrarenal immune cell landscape, followed by Pearson correlation analysis and principal component analysis. …”
  18. 12918

    Table_5_Immune Cell Landscape Identification Associates Intrarenal Mononuclear Phagocytes With Onset and Remission of Lupus Nephritis in NZB/W Mice.DOCX by Bin Li (39349)

    Published 2020
    “…</p>Materials and Methods<p>Genome-wide expression profiles of microarray datasets were downloaded from the Gene Expression Omnibus database. The CIBERSORT algorithm was used to analyze the intrarenal immune cell landscape, followed by Pearson correlation analysis and principal component analysis. …”
  19. 12919

    Table_6_Immune Cell Landscape Identification Associates Intrarenal Mononuclear Phagocytes With Onset and Remission of Lupus Nephritis in NZB/W Mice.XLSX by Bin Li (39349)

    Published 2020
    “…</p>Materials and Methods<p>Genome-wide expression profiles of microarray datasets were downloaded from the Gene Expression Omnibus database. The CIBERSORT algorithm was used to analyze the intrarenal immune cell landscape, followed by Pearson correlation analysis and principal component analysis. …”
  20. 12920

    Table2_Identification of Immune-Related Hub Genes in Parkinson’s Disease.XLSX by Lin Chen (54305)

    Published 2022
    “…Receiver operating characteristic curve analysis of the immune-related hub genes was used to differentiate PD patients from healthy controls. …”