Search alternatives:
based optimization » whale optimization (Expand Search)
cell optimization » field optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
binary basic » binary mask (Expand Search)
basic based » music based (Expand Search), basic gases (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
Showing 101 - 120 results of 240 for search '(( binary basic based optimization algorithm ) OR ( lines based cell optimization algorithm ))*', query time: 0.61s Refine Results
  1. 101
    Table_6_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_6_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  2. 102
    Table_8_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_8_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  3. 103
    Table_4_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_4_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  4. 104
    Table_2_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_2_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  5. 105
    Table_3_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_3_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  6. 106
    Table_5_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_5_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  7. 107
    Table_10_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_10_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  8. 108
    Table_7_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_7_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  9. 109
    Table_9_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_9_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  10. 110
    Table_1_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX

    Table_1_Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.XLSX by Shiqi Zhang (709298)

    Published 2020
    Save to List
    Saved in:
  11. 111
    Fig 19 -

    Fig 19 - by Tomasz Gutowski (17200042)

    Published 2023
    Save to List
    Saved in:
  12. 112
    Fig 18 -

    Fig 18 - by Tomasz Gutowski (17200042)

    Published 2023
    Save to List
    Saved in:
  13. 113
    Fig 16 -

    Fig 16 - by Tomasz Gutowski (17200042)

    Published 2023
    Save to List
    Saved in:
  14. 114
    Fig 17 -

    Fig 17 - by Tomasz Gutowski (17200042)

    Published 2023
    Save to List
    Saved in:
  15. 115
    Optimal stability ranking of candidate reference genes using geNorm, NormFinder, BestKeeper, and rank aggregation method.

    Optimal stability ranking of candidate reference genes using geNorm, NormFinder, BestKeeper, and rank aggregation method. by Marina Linardić (10720448)

    Published 2021
    Save to List
    Saved in:
  16. 116
    MOA classification performance and model benchmarking.

    MOA classification performance and model benchmarking. by Josh L. Espinoza (10492448)

    Published 2021
    Save to List
    Saved in:
  17. 117
    Distribution of Bound Conformations in Conformational Ensembles for X‑ray Ligands Predicted by the ANI-2X Machine Learning Potential

    Distribution of Bound Conformations in Conformational Ensembles for X‑ray Ligands Predicted by the ANI-2X Machine Learning Potential by Fengyang Han (14613218)

    Published 2023
    Save to List
    Saved in:
  18. 118
    Distribution of Bound Conformations in Conformational Ensembles for X‑ray Ligands Predicted by the ANI-2X Machine Learning Potential

    Distribution of Bound Conformations in Conformational Ensembles for X‑ray Ligands Predicted by the ANI-2X Machine Learning Potential by Fengyang Han (14613218)

    Published 2023
    Save to List
    Saved in:
  19. 119
    Comprehensive analysis of CSR transcription in breast cancer and normal tissues.

    Comprehensive analysis of CSR transcription in breast cancer and normal tissues. by Musalula Sinkala (6873695)

    Published 2024
    Save to List
    Saved in:
  20. 120
    This Figure shows the flow of information between components when running a simulation.

    This Figure shows the flow of information between components when running a simulation. by Till Köster (11287803)

    Published 2024
    Save to List
    Saved in:

Search Tools: