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Showing 161 - 180 results of 12,491 for search '(( algorithm python function ) OR ( algorithm ((lung function) OR (i function)) ))', query time: 1.09s Refine Results
  1. 161
    Image_11_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf

    Image_11_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  2. 162
    Image_10_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf

    Image_10_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  3. 163
    Image_2_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf

    Image_2_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  4. 164
    Image_4_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf

    Image_4_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  5. 165
    Image_5_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf

    Image_5_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  6. 166
    Image_6_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.jpeg

    Image_6_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.jpeg by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  7. 167
    Image_7_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.jpeg

    Image_7_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.jpeg by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  8. 168
    Image_3_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf

    Image_3_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.pdf by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  9. 169
    Image_9_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.jpeg

    Image_9_Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.jpeg by Chao Fang (456315)

    Published 2022
    “…</p>Methods<p>We followed a Han Chinese cohort of 85 advanced non-small cell lung cancer (NSCLC) patients, who received anti-PD-1 antibodies. …”
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  10. 170
    “trend+var” algorithm.

    “trend+var” algorithm. by Roman Olson (6577004)

    Published 2019
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  11. 171
    Distribution of DLCO in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians.

    Distribution of DLCO in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

    Published 2024
    Subjects:
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  12. 172
    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry.

    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

    Published 2024
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  13. 173
    Comprehensive analysis of gene expression and DNA methylation data identifies potential biomarkers and functional epigenetic modules for lung adenocarcinoma

    Comprehensive analysis of gene expression and DNA methylation data identifies potential biomarkers and functional epigenetic modules for lung adenocarcinoma by XiaoCong Wang (10469785)

    Published 2021
    “…<div><p>Abstract Lung cancer has one of the highest mortality rates of malignant neoplasms. …”
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  14. 174
    Image1_Identification of a prognostic classifier based on EMT-related lncRNAs and the function of LINC01138 in tumor progression for lung adenocarcinoma.TIF

    Image1_Identification of a prognostic classifier based on EMT-related lncRNAs and the function of LINC01138 in tumor progression for lung adenocarcinoma.TIF by Lingyan Xiao (11749544)

    Published 2022
    “…<p>Purpose: This study aimed to develop a prognostic indicator based on epithelial-mesenchymal transition (EMT)-related long noncoding RNAs (lncRNAs) and explore the function of EMT-related lncRNAs in malignant progression in lung adenocarcinoma (LUAD).…”
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  15. 175
    Table1_Identification of a prognostic classifier based on EMT-related lncRNAs and the function of LINC01138 in tumor progression for lung adenocarcinoma.DOCX

    Table1_Identification of a prognostic classifier based on EMT-related lncRNAs and the function of LINC01138 in tumor progression for lung adenocarcinoma.DOCX by Lingyan Xiao (11749544)

    Published 2022
    “…<p>Purpose: This study aimed to develop a prognostic indicator based on epithelial-mesenchymal transition (EMT)-related long noncoding RNAs (lncRNAs) and explore the function of EMT-related lncRNAs in malignant progression in lung adenocarcinoma (LUAD).…”
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  16. 176
    Detailed information of benchmark functions.

    Detailed information of benchmark functions. by Guangwei Liu (181992)

    Published 2024
    “…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …”
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  17. 177
    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  18. 178
    Results of 7 benchmarking functions in 50 dimensions.

    Results of 7 benchmarking functions in 50 dimensions. by M. A. JiMing (19207527)

    Published 2024
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  19. 179
    Results of 7 benchmarking functions in 30 dimensions.

    Results of 7 benchmarking functions in 30 dimensions. by M. A. JiMing (19207527)

    Published 2024
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  20. 180
    An example of our color correction algorithm (with primary surface function <i>f</i><sub>1</sub>).

    An example of our color correction algorithm (with primary surface function <i>f</i><sub>1</sub>). by Guixiang Zhang (383795)

    Published 2023
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