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Showing 1 - 20 results of 126 for search '(( degs based models optimization algorithm ) OR ( binary based codon optimization algorithm ))', query time: 0.57s Refine Results
  1. 1
    Table1_Development and evaluation of a chronic kidney disease risk prediction model using random forest.xlsx

    Table1_Development and evaluation of a chronic kidney disease risk prediction model using random forest.xlsx by Krish Mendapara (18890758)

    Published 2024
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  2. 2
    Image2_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png

    Image2_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png by Krish Mendapara (18890758)

    Published 2024
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  3. 3
    Image3_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png

    Image3_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png by Krish Mendapara (18890758)

    Published 2024
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  4. 4
    Image1_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png

    Image1_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png by Krish Mendapara (18890758)

    Published 2024
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  5. 5
    Unsupervised clustering and marker gene signatures.

    Unsupervised clustering and marker gene signatures. by Josh L. Espinoza (10492448)

    Published 2021
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  6. 6
    Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx

    Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx by Yu Yin (329063)

    Published 2023
    “…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…”
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  7. 7
    Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf

    Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf by Yu Yin (329063)

    Published 2023
    “…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…”
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  8. 8
    Image_2_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif

    Image_2_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif by Ge Jiang (2792095)

    Published 2023
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  9. 9
    Image_3_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif

    Image_3_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif by Ge Jiang (2792095)

    Published 2023
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  10. 10
    Image_1_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif

    Image_1_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif by Ge Jiang (2792095)

    Published 2023
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  11. 11
    DataSheet_1_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.docx

    DataSheet_1_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.docx by Ge Jiang (2792095)

    Published 2023
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  12. 12
    DataSheet_2_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.zip

    DataSheet_2_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.zip by Ge Jiang (2792095)

    Published 2023
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  13. 13
    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
    “…The effectiveness of risk model on prognosis evaluation, immunological signature recognition and immunotherapy options was analyzed by ESTIMATE, CIBERSORT, and TIDE algorithm. …”
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  14. 14
    Image 4_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 4_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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  15. 15
    Image 8_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 8_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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  16. 16
    Table 1_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.docx

    Table 1_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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  17. 17
    Image 3_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 3_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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  18. 18
    Image 9_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 9_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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  19. 19
    Image 6_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 6_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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  20. 20
    Image 5_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 5_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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