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Showing 1,021 - 1,040 results of 115,557 for search '(( a non decrease ) OR ( 5 ((((nn decrease) OR (a decrease))) OR (we decrease)) ))', query time: 1.38s Refine Results
  1. 1021
    Table2_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.DOCX

    Table2_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.DOCX by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
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  2. 1022
    Image11_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF

    Image11_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
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  3. 1023
    Image3_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF

    Image3_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
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  4. 1024
    Image13_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF

    Image13_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
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  5. 1025
    Image14_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF

    Image14_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
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  6. 1026
    Image1_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF

    Image1_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
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  7. 1027
    Absence or antagonism of TWEAK decreases RelB and p52 nuclear translocacion in AKI.

    Absence or antagonism of TWEAK decreases RelB and p52 nuclear translocacion in AKI. by Ana B. Sanz (367453)

    Published 2013
    “…TWEAK deficiency or antibody mediated inhibition decreases RelB and p52 positive nuclei. Controls for the technique are stained with non-specific IgG. …”
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  8. 1028
    SPRY4 transcript decreases for IDCs compared to normal tissue in the TCGA Breast dataset.

    SPRY4 transcript decreases for IDCs compared to normal tissue in the TCGA Breast dataset. by Ethan J. Brock (10892372)

    Published 2021
    “…<p>Data mining of the TCGA Breast dataset revealed a 1.53-fold decrease in SPRY4 mRNA expression in IDCs (n = 389) compared to non-cancerous breast tissue (n = 61). …”
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  9. 1029
    Table2_Population pharmacokinetic study of pemetrexed in chinese primary advanced non-small cell lung carcinoma patients.docx

    Table2_Population pharmacokinetic study of pemetrexed in chinese primary advanced non-small cell lung carcinoma patients.docx by Peng Cao (107508)

    Published 2022
    “…Creatinine clearance (CrCl) was identified as a covariate to CL, and ERCC1 (rs3212986) and CYP3A5 (rs776746) gene polymorphisms as covariates to Q. …”
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  10. 1030
    Table1_Population pharmacokinetic study of pemetrexed in chinese primary advanced non-small cell lung carcinoma patients.xlsx

    Table1_Population pharmacokinetic study of pemetrexed in chinese primary advanced non-small cell lung carcinoma patients.xlsx by Peng Cao (107508)

    Published 2022
    “…Creatinine clearance (CrCl) was identified as a covariate to CL, and ERCC1 (rs3212986) and CYP3A5 (rs776746) gene polymorphisms as covariates to Q. …”
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  11. 1031
    Table1_Population pharmacokinetic study of pemetrexed in chinese primary advanced non-small cell lung carcinoma patients.xlsx

    Table1_Population pharmacokinetic study of pemetrexed in chinese primary advanced non-small cell lung carcinoma patients.xlsx by Peng Cao (107508)

    Published 2022
    “…Creatinine clearance (CrCl) was identified as a covariate to CL, and ERCC1 (rs3212986) and CYP3A5 (rs776746) gene polymorphisms as covariates to Q. …”
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  12. 1032
    Table2_Population pharmacokinetic study of pemetrexed in chinese primary advanced non-small cell lung carcinoma patients.docx

    Table2_Population pharmacokinetic study of pemetrexed in chinese primary advanced non-small cell lung carcinoma patients.docx by Peng Cao (107508)

    Published 2022
    “…Creatinine clearance (CrCl) was identified as a covariate to CL, and ERCC1 (rs3212986) and CYP3A5 (rs776746) gene polymorphisms as covariates to Q. …”
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  13. 1033
    <b>Glucagon Clearance is Decreased in Chronic Kidney Disease, but Preserved in Liver Cirrhosis</b>

    <b>Glucagon Clearance is Decreased in Chronic Kidney Disease, but Preserved in Liver Cirrhosis</b> by Magnus F. G. Grøndahl (19160825)

    Published 2024
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  14. 1034
    LdAg-based prophylactic vaccine decreases <i>Leishmania</i> parasitic burden.

    LdAg-based prophylactic vaccine decreases <i>Leishmania</i> parasitic burden. by Doumet Georges Helou (7255823)

    Published 2021
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  15. 1035
    Spontaneous oxycodone withdrawal initially flattens NREM power rhythms, decreases low frequency and increases high frequency power.

    Spontaneous oxycodone withdrawal initially flattens NREM power rhythms, decreases low frequency and increases high frequency power. by Michael Gulledge (20577135)

    Published 2025
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  16. 1036
    Decreasing phagocytosis did not block NRF2 activation in <i>Lgy</i> infection.

    Decreasing phagocytosis did not block NRF2 activation in <i>Lgy</i> infection. by Marta Reverte (10450927)

    Published 2021
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  17. 1037
    Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif

    Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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  18. 1038
    Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif

    Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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  19. 1039
    Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif

    Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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  20. 1040
    Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif

    Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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