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Showing 1 - 20 results of 273 for search '(( algorithm fibrin function ) OR ( algorithm where function ))', query time: 0.27s Refine Results
  1. 1
    Cleavage time as a function of scaled fiber diameter.

    Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

    Published 2024
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  2. 2
    Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered.

    Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered. by Zhengtian Li (5076704)

    Published 2025
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  3. 3
    Investigate the variation of the cost function in situations where many obstacles and other robots are detected.

    Investigate the variation of the cost function in situations where many obstacles and other robots are detected. by Quoc Bao Diep (18452207)

    Published 2025
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  4. 4
    Median fiber cleavage time (black) and the fraction of successful runs (red) for different parameter values.

    Median fiber cleavage time (black) and the fraction of successful runs (red) for different parameter values. by Roukayatou R. Ouedraogo (20460980)

    Published 2024
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  5. 5
    Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined.

    Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

    Published 2024
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  6. 6
    Indel markers generated by WheresWalker for each mutant.

    Indel markers generated by WheresWalker for each mutant. by McKenna Feltes (11242085)

    Published 2025
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  7. 7
    Candidate lists generated by WheresWalker for each mutant.

    Candidate lists generated by WheresWalker for each mutant. by McKenna Feltes (11242085)

    Published 2025
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  8. 8
    Background heterogeneity and sequencing depth improve WheresWalker SNPindex.

    Background heterogeneity and sequencing depth improve WheresWalker SNPindex. by McKenna Feltes (11242085)

    Published 2025
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  9. 9
    WheresWalker outperforms homozygosity density mapping for Maize mutant.

    WheresWalker outperforms homozygosity density mapping for Maize mutant. by McKenna Feltes (11242085)

    Published 2025
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  10. 10
    WheresWalker pipeline utilizes WGS data to identify segregating SNPs and indels.

    WheresWalker pipeline utilizes WGS data to identify segregating SNPs and indels. by McKenna Feltes (11242085)

    Published 2025
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  11. 11
    Bulk Segregant Analysis (BSA) homozygosity mapping mirrors WheresWalker output.

    Bulk Segregant Analysis (BSA) homozygosity mapping mirrors WheresWalker output. by McKenna Feltes (11242085)

    Published 2025
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  12. 12
    WheresWalker identifies the correct chromosomal region for three dark yolk loci.

    WheresWalker identifies the correct chromosomal region for three dark yolk loci. by McKenna Feltes (11242085)

    Published 2025
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  13. 13
    The decomposition diagram of the large kernel convolution, where the blue grid represents the convolution kernel and the green grid represents the center point.

    The decomposition diagram of the large kernel convolution, where the blue grid represents the convolution kernel and the green grid represents the center point. by Xunqian Xu (21261899)

    Published 2025
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  14. 14
    FPS values of different methods on the three datasets, where red represents the COCO dataset, yellow represents the MPII dataset, and green represents the HP dataset.

    FPS values of different methods on the three datasets, where red represents the COCO dataset, yellow represents the MPII dataset, and green represents the HP dataset. by Xunqian Xu (21261899)

    Published 2025
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  15. 15
    Pipeline of the interactor algorithm.

    Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

    Published 2025
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  16. 16
    Mapping indices: WheresWalker SNP index, Het<sup>wt</sup>, and homozygosity values for zebrafish and maize datasets.

    Mapping indices: WheresWalker SNP index, Het<sup>wt</sup>, and homozygosity values for zebrafish and maize datasets. by McKenna Feltes (11242085)

    Published 2025
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  17. 17
    Proposed algorithm.

    Proposed algorithm. by Keenjhar Ayoob (22339616)

    Published 2025
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  18. 18
    Benchmark functions.

    Benchmark functions. by Peiwen Zhang (1863202)

    Published 2025
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  19. 19
    WGCNA and machine learning algorithms.

    WGCNA and machine learning algorithms. by Shushu Wang (6870191)

    Published 2024
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  20. 20
    Observed sample means and standard deviations of the distributions of the % ARI in the 50 simulations; comparing analyses where the alternative methods were performed with either <i>Y</i> only or <i>Y</i>, <i>X</i>. In all cases, adding the functional explanatory variables results in smaller ARIs.

    Observed sample means and standard deviations of the distributions of the % ARI in the 50 simulations; comparing analyses where the alternative methods were performed with either <... by Susana Conde (5495675)

    Published 2024
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