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Showing 1,221 - 1,240 results of 1,310 for search '(( algorithm python function ) OR ((( algorithm brain function ) OR ( algorithm fc function ))))', query time: 0.67s Refine Results
  1. 1221
    Table_1_Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify BARD1 as a potential therapeutic target for GBM patients.xls

    Table_1_Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify B... by Songyun Zhao (13897731)

    Published 2023
    “…Background<p>Glioblastoma (GBM) is a malignant primary brain tumor. This study focused on exploring the exosome-related features of glioblastoma to better understand its cellular composition and molecular characteristics.…”
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  2. 1222
    Data_Sheet_1_Serum proteomic biomarker investigation of vascular depression using data-independent acquisition: a pilot study.xlsx

    Data_Sheet_1_Serum proteomic biomarker investigation of vascular depression using data-independent acquisition: a pilot study.xlsx by Liuyi Lan (17915093)

    Published 2024
    “…Machine learning algorithms were used to screen candidate proteins and develop a protein-based model to effectively distinguish patients with VaD.…”
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  3. 1223
    Data_Sheet_2_Serum proteomic biomarker investigation of vascular depression using data-independent acquisition: a pilot study.docx

    Data_Sheet_2_Serum proteomic biomarker investigation of vascular depression using data-independent acquisition: a pilot study.docx by Liuyi Lan (17915093)

    Published 2024
    “…Machine learning algorithms were used to screen candidate proteins and develop a protein-based model to effectively distinguish patients with VaD.…”
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  4. 1224
    Image_2_Serum proteomic biomarker investigation of vascular depression using data-independent acquisition: a pilot study.TIF

    Image_2_Serum proteomic biomarker investigation of vascular depression using data-independent acquisition: a pilot study.TIF by Liuyi Lan (17915093)

    Published 2024
    “…Machine learning algorithms were used to screen candidate proteins and develop a protein-based model to effectively distinguish patients with VaD.…”
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  5. 1225
    Image_1_Serum proteomic biomarker investigation of vascular depression using data-independent acquisition: a pilot study.TIF

    Image_1_Serum proteomic biomarker investigation of vascular depression using data-independent acquisition: a pilot study.TIF by Liuyi Lan (17915093)

    Published 2024
    “…Machine learning algorithms were used to screen candidate proteins and develop a protein-based model to effectively distinguish patients with VaD.…”
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  6. 1226
    Skeletal_ Muscle_MRI_Registration

    Skeletal_ Muscle_MRI_Registration by Lucia Fontana (9435020)

    Published 2020
    “…</p> <p>wxPython library was employed to develop the GUI, which is composed by two main windows – initial window and registration window – and 5 secondary frames for support functionalities. 3D images are presented with three views – axial, coronal and sagittal – with three sliders to adjust maximum value, minimum value, and gamma correction.…”
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  7. 1227
    Data_Sheet_3_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF

    Data_Sheet_3_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF by Helen Y. Weng (7321334)

    Published 2020
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  8. 1228
    Navigating complex care pathways–healthcare workers’ perspectives on health system barriers for children with tuberculous meningitis in Cape Town, South Africa

    Navigating complex care pathways–healthcare workers’ perspectives on health system barriers for children with tuberculous meningitis in Cape Town, South Africa by Dzunisani Patience Baloyi (19452687)

    Published 2025
    “…An integrated data system and alert functions could flag multiple healthcare visits and improve communication between different healthcare facilities during diagnosis and treatment. …”
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  9. 1229
    Data_Sheet_3_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF

    Data_Sheet_3_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF by Helen Y. Weng (7321334)

    Published 2021
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  10. 1230
    Data_Sheet_5_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.pdf

    Data_Sheet_5_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.pdf by Helen Y. Weng (7321334)

    Published 2020
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  11. 1231
    Data_Sheet_4_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF

    Data_Sheet_4_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF by Helen Y. Weng (7321334)

    Published 2021
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  12. 1232
    Data_Sheet_4_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF

    Data_Sheet_4_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF by Helen Y. Weng (7321334)

    Published 2020
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  13. 1233
    Data_Sheet_1_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF

    Data_Sheet_1_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF by Helen Y. Weng (7321334)

    Published 2021
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  14. 1234
    Data_Sheet_2_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF

    Data_Sheet_2_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF by Helen Y. Weng (7321334)

    Published 2020
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  15. 1235
    Data_Sheet_2_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF

    Data_Sheet_2_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF by Helen Y. Weng (7321334)

    Published 2021
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  16. 1236
    Data_Sheet_5_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.pdf

    Data_Sheet_5_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.pdf by Helen Y. Weng (7321334)

    Published 2021
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  17. 1237
    Data_Sheet_1_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF

    Data_Sheet_1_Toward a Compassionate Intersectional Neuroscience: Increasing Diversity and Equity in Contemplative Neuroscience.PDF by Helen Y. Weng (7321334)

    Published 2020
    “…All 15 meditators’ unique brain patterns were recognized by machine learning algorithms significantly above chance levels. …”
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  18. 1238
    Table_1_A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs.xlsx

    Table_1_A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs.xlsx by Daniel Crespo-Piazuelo (4003058)

    Published 2021
    “…The five regulators were involved in pathways related to immunity such as lymphocyte differentiation and activation, platelet activation and degranulation, megakaryocyte differentiation, FcγR-mediated phagocytosis and response to nitric oxide, among others, but also in immunometabolism. …”
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  19. 1239
    Table_4_A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs.xlsx

    Table_4_A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs.xlsx by Daniel Crespo-Piazuelo (4003058)

    Published 2021
    “…The five regulators were involved in pathways related to immunity such as lymphocyte differentiation and activation, platelet activation and degranulation, megakaryocyte differentiation, FcγR-mediated phagocytosis and response to nitric oxide, among others, but also in immunometabolism. …”
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  20. 1240
    DataSheet_1_A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs.docx

    DataSheet_1_A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs.docx by Daniel Crespo-Piazuelo (4003058)

    Published 2021
    “…The five regulators were involved in pathways related to immunity such as lymphocyte differentiation and activation, platelet activation and degranulation, megakaryocyte differentiation, FcγR-mediated phagocytosis and response to nitric oxide, among others, but also in immunometabolism. …”
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