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Showing 101 - 120 results of 610 for search '(( binary based function optimization algorithm ) OR ( gene based cell optimization algorithm ))', query time: 0.61s Refine Results
  1. 101
    SV detection workflow.

    SV detection workflow. by De-Min Duan (20685513)

    Published 2025
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  2. 102
    The SVs detected by six SV callers.

    The SVs detected by six SV callers. by De-Min Duan (20685513)

    Published 2025
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  3. 103
    An inflammation-associated ferroptosis signature can optimize the diagnosis, prognosis evaluation and immunotherapy options in hepatocellular carcinoma

    An inflammation-associated ferroptosis signature can optimize the diagnosis, prognosis evaluation and immunotherapy options in hepatocellular carcinoma by Wanyuan Ruan (13763851)

    Published 2023
    “…Furthermore, through performing reviewing clinical characters and IHC analysis, we found HCC tissues from our research group with high risk score exhibited more cases of microsatellite instability (MSI), heavier tumor mutational burden (TMB), higher expression level of PDL1 and cells with CD8.</p> <p>Conclusions: The signature constructed by seven IAF-genes including ADH4, APOA5, CFHR3, CXCL8, FTCD, G6PD and PON1 can act as a biomarker for optimizing the diagnosis, prognosis evaluation and immunotherapy options in HCC patients.…”
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  4. 104
    Image_2_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF

    Image_2_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF by Qingqing Li (1505614)

    Published 2022
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  5. 105
    Image_1_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF

    Image_1_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF by Qingqing Li (1505614)

    Published 2022
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  6. 106
    Image_3_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF

    Image_3_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF by Qingqing Li (1505614)

    Published 2022
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  7. 107
    UK Biobank data wrangling statistics and results.

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

    Published 2020
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  8. 108
    An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%.

    An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. by Zhengdong Wang (35299)

    Published 2025
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  9. 109
    DataSheet_1_A Novel Radiogenomics Biomarker Based on Hypoxic-Gene Subset: Accurate Survival and Prognostic Prediction of Renal Clear Cell Carcinoma.doc

    DataSheet_1_A Novel Radiogenomics Biomarker Based on Hypoxic-Gene Subset: Accurate Survival and Prognostic Prediction of Renal Clear Cell Carcinoma.doc by Jiahao Gao (7799222)

    Published 2021
    “…Purpose<p>To construct a novel radiogenomics biomarker based on hypoxic-gene subset for the accurate prognostic prediction of clear cell renal cell carcinoma (ccRCC).…”
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  10. 110
    Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model

    Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model by Changhao Ge (22410399)

    Published 2025
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  11. 111
    DataSheet1_Determination of a prediction model for therapeutic response and prognosis based on chemokine signaling-related genes in stage I–III lung squamous cell carcinoma.docx

    DataSheet1_Determination of a prediction model for therapeutic response and prognosis based on chemokine signaling-related genes in stage I–III lung squamous cell carcinoma.docx by Jinzhi Lai (6856568)

    Published 2022
    “…<p>Background: The chemokine signaling pathway plays an essential role in the development, progression, and immune surveillance of lung squamous cell carcinoma (LUSC). Our study aimed to systematically analyze chemokine signaling-related genes (CSRGs) in LUSC patients with stage I–III disease and develop a prediction model to predict the prognosis and therapeutic response.…”
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  12. 112
    Results of the realignment of a PV ISH coronal slice to the Nissl volume.

    Results of the realignment of a PV ISH coronal slice to the Nissl volume. by Dimitri Rodarie (10148838)

    Published 2022
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  13. 113
    The data processing and analysis pipeline.

    The data processing and analysis pipeline. by Xin Zhang (35492)

    Published 2025
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  14. 114
    Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF

    Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF by Haidi Wang (9694004)

    Published 2020
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  15. 115
    Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx

    Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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  16. 116
    Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf

    Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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  17. 117
    Table1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX

    Table1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  18. 118
    Image3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.tif

    Image3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.tif by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  19. 119
    Image1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.TIF

    Image1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.TIF by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  20. 120
    Table3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX

    Table3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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