Showing 1 - 20 results of 296 for search '(( binary data guided optimization algorithm ) OR ( genes based network optimization algorithm ))', query time: 0.51s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4

    Image_1_Identification of a Novel Prognostic Signature for Gastric Cancer Based on Multiple Level Integration and Global Network Optimization.TIF by Lin Cui (163750)

    Published 2021
    “…To date, there have been no reports on integrated optimization analysis based on the GC global lncRNA-miRNA-mRNA network and the prognostic mechanism has not been studied. …”
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11

    Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm by Interdis Sci Comp Life Sci (7335308)

    Published 2023
    “…This work mainly focuses on the following aspects: (1) On the basis of the IPC-MB and DPI, we presented a novel feature selection method called the improved MB discovery algorithm (IMBDA), which can accurately identify direct and indirect regulatory genes when inferring networks. (2) Isolated genes were properly processed by the IDS to optimize the network structure. (3) The performance of IMBDANET was assessed with extensive experiments. …”
  12. 12

    Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm by Interdis Sci Comp Life Sci (7335308)

    Published 2023
    “…</p><p dir="ltr"> (2) Isolated genes were properly processed by the IDS to optimize the network structure.…”
  13. 13
  14. 14

    <i>OptRAM</i>: <i>In-silico</i> strain design via integrative regulatory-metabolic network modeling by Fangzhou Shen (5140994)

    Published 2019
    “…Moreover previous integrated approaches generally require a pre-existing regulatory network. In this study, we developed a novel strain design algorithm, named OptRAM (<b>Opt</b>imization of <b>R</b>egulatory <b>A</b>nd <b>M</b>etabolic Networks), which can identify combinatorial optimization strategies including overexpression, knockdown or knockout of both metabolic genes and transcription factors. …”
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20