يعرض 621 - 640 نتائج من 23,096 نتيجة بحث عن '(( significant decrease decrease ) OR ( significant ((a decrease) OR (fold increased)) ))', وقت الاستعلام: 0.42s تنقيح النتائج
  1. 621
  2. 622

    Homer-derived motifs. حسب Hyuk Sung Yoon (20208672)

    منشور في 2024
    الموضوعات:
  3. 623
  4. 624
  5. 625

    Fig 4 - حسب Hyuk Sung Yoon (20208672)

    منشور في 2024
    الموضوعات:
  6. 626

    All TPM values. حسب Hyuk Sung Yoon (20208672)

    منشور في 2024
    الموضوعات:
  7. 627

    Bar charts showing the numbers of significantly differentially expressed genes for the different contrasts. حسب Gillian P. McHugo (8965919)

    منشور في 2025
    "…<p>The extent of the bar above and below 0 on the vertical axis indicates the numbers of significantly differentially expressed genes (DEGs; B-H <i><i>P</i></i><sub>adj.…"
  8. 628
  9. 629

    The miRNA target genes. حسب Zhaowen Tan (12283502)

    منشور في 2025
    الموضوعات:
  10. 630

    Loxoprofen and SB225002 administration decreased sound stress exposure-induced hyperalgesia. حسب Satoka Kasai (3861115)

    منشور في 2025
    "…Mice treated with loxoprofen (500 mg/kg) or SB225002 (3 mg/kg) showed significantly decreased response times to the filament compared to Stress + saline group (Stress + loxoprofen (500 mg/kg), 30 min after administration, **<i>P</i> < 0.01, 60 min after administration, ***<i>P</i><i> <i><</i> </i>0.001; Stress + SB225002 (3 mg/kg), 60 min after administration, *<i>P</i> < 0.05). 2-way ANOVA <i>post-hoc</i> Bonferroni test. …"
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  16. 636
  17. 637
  18. 638

    PCA-CGAN K-fold experiment table. حسب Chao Tang (10925)

    منشور في 2025
    "…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"
  19. 639

    PCAECG-GAN K-fold experiment table. حسب Chao Tang (10925)

    منشور في 2025
    "…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"
  20. 640