Hasil Pencarian - (nppada OR ada) c

Alternatif pencarian:

Perbaiki Hasil
  1. 1
  2. 2
  3. 3

    In Memory of Ada

    Diterbitkan 2021-06-01
    Dapatkan teks lengkap
    Artikel
  4. 4
  5. 5
  6. 6

    Evaluation of ADA activity as a potential marker of disease severity in psoriasis patients oleh Khan SA, Agrawal S, Baral N, Lamsal M

    Diterbitkan 2018-09-01
    "…  Purpose: This study aimed to examine the association of serum ADA activity, uric acid (UA), and high-sensitivity CRP (hs-CRP) with psoriasis and the role of ADA in disease severity.…"
    Dapatkan teks lengkap
    Artikel
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    Characterization of adenosine deaminase (ADA) in Hemolymph of Biomphalaria glabrata Caracterização da adenosina desaminase (ADA) em Hemolinfa de Biomphalaria glabrata oleh M. R. Vale, R. V. Pereira, S. M. Almeida, Y. M. Almeida, S. F. L. C. Nunes

    Diterbitkan 2005-05-01
    "…Higher incubation temperature caused a decrease in activity of 20% at 43ºC or 70% at 50ºC for 15 minutes. The ADA lost from 26 to 78% of its activity when hemolymph was pre-incubated at 50ºC for 2 or 15 minutes, respectively. …"
    Dapatkan teks lengkap
    Artikel
  16. 16
  17. 17

    Distinct Roles of Adenosine Deaminase Isoenzymes ADA1 and ADA2: A Pan-Cancer Analysis oleh Zhao-wei Gao, Lan Yang, Chong Liu, Xi Wang, Wen-tao Guo, Hui-zhong Zhang, Ke Dong

    Diterbitkan 2022-05-01
    "…The Kaplan–Meier (KM) plotter was used to analyze the prognostic value of ADA1 and ADA2. TIMER2.0 was used to explore how ADA1 and ADA2 correlate with immune infiltration and immune checkpoints. cBioPortal database was used to investigate the mutations of ADA1 and ADA2. …"
    Dapatkan teks lengkap
    Artikel
  18. 18
  19. 19
  20. 20

    Early Breast Cancer Detection in Thermogram Images using AdaBoost Classifier and Fuzzy C-Means Clustering Algorithm oleh Amir Ehsan Lashkari, Mohammad Firouzmand

    Diterbitkan 2016-07-01
    "…Results: The selected features were evaluated by fuzzy C-means clustering as the unsupervised method and compared with the AdaBoost supervised classifier which has been previously studied. …"
    Dapatkan teks lengkap
    Artikel