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Showing 1 - 14 results of 14 for search '(( binary based action optimization algorithm ) OR ( gene based whole optimization algorithm ))', query time: 0.58s Refine Results
  1. 1
    Table1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.XLSX

    Table1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.XLSX by Qiang-Sheng Wang (12641971)

    Published 2022
    “…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”
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  2. 2
    Image2_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF

    Image2_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF by Qiang-Sheng Wang (12641971)

    Published 2022
    “…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”
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  3. 3
    Image1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF

    Image1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF by Qiang-Sheng Wang (12641971)

    Published 2022
    “…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”
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  4. 4
    Experimentally verified and predicted organelle proteins as a percentage of the whole genome.

    Experimentally verified and predicted organelle proteins as a percentage of the whole genome. by Sven B. Gould (12237287)

    Published 2024
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  5. 5
    UK Biobank data wrangling statistics and results.

    UK Biobank data wrangling statistics and results. by Simeone Marino (81051)

    Published 2020
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  6. 6
    DataSheet1_The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes.PDF

    DataSheet1_The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes.PDF by Paula Štancl (12886700)

    Published 2022
    “…Two machine-learning algorithms that predict HRD status, CHORD, and HRDetect, utilize various HRD-associated features extracted from whole-genome sequencing (WGS) data and show high sensitivity in detecting patients with BRCA1/2 bi-allelic inactivation in all cancer types. …”
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  7. 7
    DataSheet2_The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes.xlsx

    DataSheet2_The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes.xlsx by Paula Štancl (12886700)

    Published 2022
    “…Two machine-learning algorithms that predict HRD status, CHORD, and HRDetect, utilize various HRD-associated features extracted from whole-genome sequencing (WGS) data and show high sensitivity in detecting patients with BRCA1/2 bi-allelic inactivation in all cancer types. …”
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  8. 8
    Data Sheet 1_Genome-wide expression in human whole blood for diagnosis of latent tuberculosis infection: a multicohort research.pdf

    Data Sheet 1_Genome-wide expression in human whole blood for diagnosis of latent tuberculosis infection: a multicohort research.pdf by Fan Jiang (144211)

    Published 2025
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  9. 9
    Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf

    Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf by Cecilia Lindig-León (7889777)

    Published 2020
    “…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …”
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  10. 10
    Table1_GTasm: a genome assembly method using graph transformers and HiFi reads.DOCX

    Table1_GTasm: a genome assembly method using graph transformers and HiFi reads.DOCX by Junwei Luo (7593224)

    Published 2024
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  11. 11
    Data Sheet 1_Countrywide Corchorus olitorius L. core collection shows an adaptive potential for future climate in Benin.xlsx

    Data Sheet 1_Countrywide Corchorus olitorius L. core collection shows an adaptive potential for future climate in Benin.xlsx by Dèdéou A. Tchokponhoué (17403983)

    Published 2025
    “…The ShinyCore algorithm application yielded a core set of 54 accessions that echoed a good geographical representativeness and encompassed a level of diversity comparable to that of the whole collection. …”
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  12. 12
    Data Sheet 2_Countrywide Corchorus olitorius L. core collection shows an adaptive potential for future climate in Benin.docx

    Data Sheet 2_Countrywide Corchorus olitorius L. core collection shows an adaptive potential for future climate in Benin.docx by Dèdéou A. Tchokponhoué (17403983)

    Published 2025
    “…The ShinyCore algorithm application yielded a core set of 54 accessions that echoed a good geographical representativeness and encompassed a level of diversity comparable to that of the whole collection. …”
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  13. 13
    Table_1_Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation.xlsx

    Table_1_Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation.xlsx by Joanna Tobiasz (11816504)

    Published 2023
    “…</p><p>In conclusion, the DP-based piecewise multivariate linear regression method helps narrow the set of CNV markers from the whole radiosensitivity range to the smaller intervals of interest. …”
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  14. 14
    Table1_Analytical validation and clinical utilization of K-4CARE™: a comprehensive genomic profiling assay with personalized MRD detection.XLSX

    Table1_Analytical validation and clinical utilization of K-4CARE™: a comprehensive genomic profiling assay with personalized MRD detection.XLSX by Thien-Phuc Nguyen Hoang (17940656)

    Published 2024
    “…<p>Background: Biomarker testing has gradually become standard of care in precision oncology to help physicians select optimal treatment for patients. Compared to single-gene or small gene panel testing, comprehensive genomic profiling (CGP) has emerged as a more time- and tissue-efficient method. …”
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