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Showing 1 - 17 results of 17 for search 'multiple mutations detection algorithm', query time: 0.23s Refine Results
  1. 1
    Overview of the study.

    Overview of the study. by Bengi Ruken Yavuz (21983004)

    Published 2025
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  2. 2
    Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice

    Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice by Yiyong Zhao (21466062)

    Published 2025
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  3. 3
    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins by Jonathan Chiu-Chun Chou (22184735)

    Published 2025
    “…Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. …”
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  4. 4
    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins by Jonathan Chiu-Chun Chou (22184735)

    Published 2025
    “…Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. …”
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  5. 5
    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins by Jonathan Chiu-Chun Chou (22184735)

    Published 2025
    “…Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. …”
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  6. 6
    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins by Jonathan Chiu-Chun Chou (22184735)

    Published 2025
    “…Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. …”
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  7. 7
    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins by Jonathan Chiu-Chun Chou (22184735)

    Published 2025
    “…Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. …”
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  8. 8
    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins by Jonathan Chiu-Chun Chou (22184735)

    Published 2025
    “…Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. …”
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  9. 9
    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins by Jonathan Chiu-Chun Chou (22184735)

    Published 2025
    “…Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. …”
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  10. 10
    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

    A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins by Jonathan Chiu-Chun Chou (22184735)

    Published 2025
    “…Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. …”
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  11. 11
    Discordant Samples in Concordance Study.

    Discordant Samples in Concordance Study. by Wenshu Li (762627)

    Published 2025
    “…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
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  12. 12
    One variant per line data for LoD study.

    One variant per line data for LoD study. by Wenshu Li (762627)

    Published 2025
    “…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
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  13. 13
    One variant per line data for precision study.

    One variant per line data for precision study. by Wenshu Li (762627)

    Published 2025
    “…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
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  14. 14
    One variant per line data for concordance study.

    One variant per line data for concordance study. by Wenshu Li (762627)

    Published 2025
    “…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
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  15. 15
    One variant per line data for LoB study.

    One variant per line data for LoB study. by Wenshu Li (762627)

    Published 2025
    “…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
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  16. 16
    Image 1_Single-cell and multi-omics analysis reveals the role of stem cells in prognosis and immunotherapy of lung adenocarcinoma patients.tif

    Image 1_Single-cell and multi-omics analysis reveals the role of stem cells in prognosis and immunotherapy of lung adenocarcinoma patients.tif by Jianan Zheng (9134099)

    Published 2025
    “…Significantly lower immune cell infiltration, characteristic of “cold” tumors, was detected in high-SCPM patients by multiple immune infiltration algorithms. …”
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  17. 17
    Image 2_Single-cell and multi-omics analysis reveals the role of stem cells in prognosis and immunotherapy of lung adenocarcinoma patients.tif

    Image 2_Single-cell and multi-omics analysis reveals the role of stem cells in prognosis and immunotherapy of lung adenocarcinoma patients.tif by Jianan Zheng (9134099)

    Published 2025
    “…Significantly lower immune cell infiltration, characteristic of “cold” tumors, was detected in high-SCPM patients by multiple immune infiltration algorithms. …”
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