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Showing 1 - 20 results of 99 for search 'multiple genome detection algorithm', query time: 0.29s Refine Results
  1. 1
    Algorithm parameter settings employed in the experiments on simulated data.

    Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

    Published 2024
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  2. 2
    The gene network of the epistatic interactions detected for Bipolar Disorder.

    The gene network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

    Published 2024
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  3. 3
    The SNP network of the epistatic interactions detected for Bipolar Disorder.

    The SNP network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

    Published 2024
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  4. 4
    Multiple Sequence Alignment of IgV domains in fasta format.

    Multiple Sequence Alignment of IgV domains in fasta format. by Caesar Tawfeeq (21087272)

    Published 2025
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  5. 5
    Multiple Sequence Alignment of IgI domains in fasta format.

    Multiple Sequence Alignment of IgI domains in fasta format. by Caesar Tawfeeq (21087272)

    Published 2025
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  6. 6
    Multiple Sequence Alignment of IgCad (Cadherin) domains in fasta format.

    Multiple Sequence Alignment of IgCad (Cadherin) domains in fasta format. by Caesar Tawfeeq (21087272)

    Published 2025
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  7. 7
    Multiple Sequence Alignment of IgC1 domains in fasta format.

    Multiple Sequence Alignment of IgC1 domains in fasta format. by Caesar Tawfeeq (21087272)

    Published 2025
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  8. 8
    Multiple Sequence Alignment of IgFN3 domains in fasta format.

    Multiple Sequence Alignment of IgFN3 domains in fasta format. by Caesar Tawfeeq (21087272)

    Published 2025
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  9. 9
    Multiple Sequence Alignment of IgC2 domains in fasta format.

    Multiple Sequence Alignment of IgC2 domains in fasta format. by Caesar Tawfeeq (21087272)

    Published 2025
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  10. 10
    Genomic regions identified as significant under <i>additive</i> selection.

    Genomic regions identified as significant under <i>additive</i> selection. by Adam G. Fine (21763286)

    Published 2025
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  11. 11
    Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA.

    Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

    Published 2024
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  12. 12
    Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA.

    Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

    Published 2024
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  13. 13
    Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA.

    Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

    Published 2024
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  14. 14
    Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA.

    Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

    Published 2024
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  15. 15
    Fast Signal Region Detection With Application to Whole Genome Association Studies

    Fast Signal Region Detection With Application to Whole Genome Association Studies by Wei Zhang (405)

    Published 2025
    “…In this paper, we propose a fast and effective algorithm coupling with high-dimensional test for simultaneously detecting multiple signal regions, which is distinct from existing methods using scan or knockoff statistics. …”
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  16. 16
    Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset.

    Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

    Published 2024
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  17. 17
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. by Liyan Sun (760586)

    Published 2024
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  18. 18
    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset.

    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. by Liyan Sun (760586)

    Published 2024
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  19. 19
    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset.

    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  20. 20
    The brief description on the WTCCC dataset.

    The brief description on the WTCCC dataset. by Liyan Sun (760586)

    Published 2024
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