Showing 361 - 380 results of 669 for search '(((( complement forest algorithm ) OR ( element method algorithm ))) OR ( level coding algorithm ))', query time: 0.33s Refine Results
  1. 361

    Table 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  2. 362

    Table 2_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  3. 363

    Table 9_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  4. 364

    Table 5_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  5. 365

    Table 7_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  6. 366

    Table 6_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  7. 367

    Table 10_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  8. 368

    Table 3_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  9. 369

    Table 4_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  10. 370

    Table 11_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  11. 371

    Table 8_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  12. 372
  13. 373
  14. 374

    EvoFuzzy by Hasini Nakulugamuwa-Gamage (17344420)

    Published 2024
    “…The algorithm evolves a population of networks using fuzzy trigonometric differential evolution, with gene expression predictions based on confidence levels applied through a fuzzy logic-based predictor.…”
  15. 375

    TreeMap 2016: A tree-level model of the forests of the conterminous United States circa 2016 by Karin L. Riley (19657882)

    Published 2025
    “…The raster map of plot identifiers can be linked to the FIA databases available through the FIA DataMart (https://doi.org/10.2737/RDS-2001-FIADB) or to the text and SQL files included in this data publication to produce tree-level maps or to map other plot attributes. The accompanying database files included in this publication also contain attributes regarding the FIA plot CN (or control number, a unique identifier for each time a plot is measured), the subplot number, the tree record number, and for each tree: the status (live or dead), species, diameter, height, actual height (where broken), crown ratio, number of trees per acre, and a code for cause of death where applicable. …”
  16. 376

    Data Sheet 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.docx by Hope A. Townsend (12283067)

    Published 2024
    “…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
  17. 377

    Communication-Efficient Distributed Estimation and Inference for Cox’s Model by Pierre Bayle (21567081)

    Published 2025
    “…<p>Motivated by multi-center biomedical studies that cannot share individual data due to privacy and ownership concerns, we develop communication-efficient iterative distributed algorithms for estimation and inference in the high-dimensional sparse Cox proportional hazards model. …”
  18. 378
  19. 379

    Fire Lab tree list: A tree-level model of the conterminous United States landscape circa 2014 by Karin L. Riley (19657882)

    Published 2025
    “…Forest Service’s Forest and Inventory Analysis program (FIA) version 1.7.1 and 2) the landscape target data, which consisted of raster data at 30x30 meter (m) resolution provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE; https://landfire.gov/) FIA plots were imputed to the raster data by the random forests algorithm, providing a tree-level model of all forested areas in the conterminous U.S. …”
  20. 380