Showing 1,301 - 1,315 results of 1,315 for search '(( algorithm steps function ) OR ( algorithm python function ))*', query time: 0.39s Refine Results
  1. 1301

    Data_Sheet_5_High-Resolution Metagenomics of Human Gut Microbiota Generated by Nanopore and Illumina Hybrid Metagenome Assembly.doc by Lianwei Ye (6849110)

    Published 2022
    “…<p>Metagenome assembly is a core yet methodologically challenging step for taxonomic classification and functional annotation of a microbiome. …”
  2. 1302

    Image_1_Anoikis resistance of small airway epithelium is involved in the progression of chronic obstructive pulmonary disease.tif by Dian Chen (1713457)

    Published 2023
    “…Background<p>Anoikis resistance is recognized as a crucial step in the metastasis of cancer cells. Most epithelial tumors are distinguished by the ability of epithelial cells to abscond anoikis when detached from the extracellular matrix. …”
  3. 1303

    Image_2_Anoikis resistance of small airway epithelium is involved in the progression of chronic obstructive pulmonary disease.tif by Dian Chen (1713457)

    Published 2023
    “…Background<p>Anoikis resistance is recognized as a crucial step in the metastasis of cancer cells. Most epithelial tumors are distinguished by the ability of epithelial cells to abscond anoikis when detached from the extracellular matrix. …”
  4. 1304

    Image_3_Anoikis resistance of small airway epithelium is involved in the progression of chronic obstructive pulmonary disease.tif by Dian Chen (1713457)

    Published 2023
    “…Background<p>Anoikis resistance is recognized as a crucial step in the metastasis of cancer cells. Most epithelial tumors are distinguished by the ability of epithelial cells to abscond anoikis when detached from the extracellular matrix. …”
  5. 1305

    Image_4_Anoikis resistance of small airway epithelium is involved in the progression of chronic obstructive pulmonary disease.tif by Dian Chen (1713457)

    Published 2023
    “…Background<p>Anoikis resistance is recognized as a crucial step in the metastasis of cancer cells. Most epithelial tumors are distinguished by the ability of epithelial cells to abscond anoikis when detached from the extracellular matrix. …”
  6. 1306

    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. …”
  7. 1307

    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.…”
  8. 1308

    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. …”
  9. 1309

    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. …”
  10. 1310

    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. …”
  11. 1311

    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. …”
  12. 1312

    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. …”
  13. 1313

    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. …”
  14. 1314

    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. …”
  15. 1315

    Patentability of 3D bioprinting technologies by Phoebe Li (4463947)

    Published 2025
    “…</p><p dir="ltr">(5) <i>In vitro</i> bioprinted (functional or cosmetic) human organs may be patentable.…”