يعرض 201 - 220 نتائج من 7,551 نتيجة بحث عن '(( ((algorithm gene) OR (algorithm where)) function ) OR ( algorithm python function ))', وقت الاستعلام: 0.36s تنقيح النتائج
  1. 201

    Antibody challenge outcomes. حسب Andrea Blasco (7439102)

    منشور في 2019
    "…Also shown is the benchmark algorithm implemented in Python (A1) and C++ (A2); note that benchmark algorithms A1 and A2 have perfect accuracy (<i>ACC</i> equal to unity). …"
  2. 202
  3. 203
  4. 204
  5. 205

    Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). حسب Moshe Rubanov (7289156)

    منشور في 2024
    "…<b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …"
  6. 206
  7. 207
  8. 208

    Data_Sheet_1_REW-ISA V2: A Biclustering Method Fusing Homologous Information for Analyzing and Mining Epi-Transcriptome Data.docx حسب Lin Zhang (8926)

    منشور في 2021
    "…</p><p>Results: Then, REW-ISA V2 was applied in the MERIP-seq data to find potential local function blocks (LFBs), where sites are hyper-methylated simultaneously across the specific conditions. …"
  9. 209
  10. 210

    Functional enrichment analysis of hub genes. حسب Tingting Liu (267387)

    منشور في 2025
    "…<p>(A) Hub genes were selected using the MCC algorithm. (B) Enrichment analysis of biological processes (BP) hub genes. …"
  11. 211

    Algorithm parameter setting. حسب Tianrui Zhang (2294542)

    منشور في 2023
    "…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…"
  12. 212

    Algorithm parameter setting. حسب Tianrui Zhang (2294542)

    منشور في 2023
    "…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…"
  13. 213
  14. 214
  15. 215
  16. 216
  17. 217
  18. 218
  19. 219
  20. 220