Showing 181 - 200 results of 41,766 for search '(( 50 ((((we decrease) OR (nn decrease))) OR (mean decrease)) ) OR ( 01 0 decrease ))', query time: 0.60s Refine Results
  1. 181

    Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

    Published 2024
    “…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
  2. 182

    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

    Published 2024
    “…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
  3. 183
  4. 184
  5. 185
  6. 186
  7. 187
  8. 188
  9. 189
  10. 190
  11. 191
  12. 192
  13. 193

    Protocols. by Yoichiro Kitajima (4319455)

    Published 2022
    Subjects:
  14. 194
  15. 195
  16. 196

    Chamber. by Yoichiro Kitajima (4319455)

    Published 2022
    Subjects:
  17. 197
  18. 198
  19. 199
  20. 200

    K-means++ clustering algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”