Showing 1,621 - 1,629 results of 1,629 for search '(((( algorithm pre function ) OR ( algorithm steps function ))) OR ( algorithm python function ))*', query time: 0.46s Refine Results
  1. 1621

    Table_4_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX by Hui Tang (226667)

    Published 2019
    “…On the one hand, the high-order Pearson's correlation coefficient can highlight the latent patterns underlying noisy input datasets and thus improve the accuracy and robustness of the algorithms currently available for sample clustering. …”
  2. 1622

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

    Published 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.…”
  3. 1623

    Table_2_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX by Hui Tang (226667)

    Published 2019
    “…On the one hand, the high-order Pearson's correlation coefficient can highlight the latent patterns underlying noisy input datasets and thus improve the accuracy and robustness of the algorithms currently available for sample clustering. …”
  4. 1624

    Table_1_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.docx by Hui Tang (226667)

    Published 2019
    “…On the one hand, the high-order Pearson's correlation coefficient can highlight the latent patterns underlying noisy input datasets and thus improve the accuracy and robustness of the algorithms currently available for sample clustering. …”
  5. 1625

    Table_3_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLS by Hui Tang (226667)

    Published 2019
    “…On the one hand, the high-order Pearson's correlation coefficient can highlight the latent patterns underlying noisy input datasets and thus improve the accuracy and robustness of the algorithms currently available for sample clustering. …”
  6. 1626

    Image_2_Prioritizing Molecular Biomarkers in Asthma and Respiratory Allergy Using Systems Biology.jpeg by Lucía Cremades-Jimeno (10649597)

    Published 2021
    “…Here, we analyze our experimental results using complex algorithmic approaches that establish holistic disease models (systems biology), combining these insights with information available in specialized databases developed worldwide. …”
  7. 1627

    Table_5_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX by Hui Tang (226667)

    Published 2019
    “…On the one hand, the high-order Pearson's correlation coefficient can highlight the latent patterns underlying noisy input datasets and thus improve the accuracy and robustness of the algorithms currently available for sample clustering. …”
  8. 1628

    Image_1_Prioritizing Molecular Biomarkers in Asthma and Respiratory Allergy Using Systems Biology.jpeg by Lucía Cremades-Jimeno (10649597)

    Published 2021
    “…Here, we analyze our experimental results using complex algorithmic approaches that establish holistic disease models (systems biology), combining these insights with information available in specialized databases developed worldwide. …”
  9. 1629

    DataSheet_1_Prioritizing Molecular Biomarkers in Asthma and Respiratory Allergy Using Systems Biology.pdf by Lucía Cremades-Jimeno (10649597)

    Published 2021
    “…Here, we analyze our experimental results using complex algorithmic approaches that establish holistic disease models (systems biology), combining these insights with information available in specialized databases developed worldwide. …”