Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm gene » algorithm where (Expand Search), algorithm etc (Expand Search), algorithm pre (Expand Search)
algorithm gpcr » algorithm pca (Expand Search), algorithm etc (Expand Search), algorithm cl (Expand Search)
gpcr function » fc function (Expand Search), cftr function (Expand Search), idr function (Expand Search)
Showing 141 - 160 results of 6,835 for search '(((( algorithm gene function ) OR ( algorithm gpcr function ))) OR ( algorithm python function ))', query time: 0.68s Refine Results
  1. 141
    Functional enrichment results for the local module exploited for the seed gene <i>ECT2</i>.

    Functional enrichment results for the local module exploited for the seed gene <i>ECT2</i>. by Ehsan Pournoor (11250711)

    Published 2021
    Save to List
    Saved in:
  2. 142
    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.

    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

    Published 2025
    Save to List
    Saved in:
  3. 143
    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space

    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

    Published 2020
    “…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”
    Save to List
    Saved in:
  4. 144
    The number of core promoter elements and TF binding sites predicted for four promoters with YAPP, GPMiner and ElemeNT algorithms.

    The number of core promoter elements and TF binding sites predicted for four promoters with YAPP, GPMiner and ElemeNT algorithms. by Ali Hosseini Rad S. M. (9167497)

    Published 2020
    Save to List
    Saved in:
  5. 145
    Table_3_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX

    Table_3_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX by Hong Gu (68558)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  6. 146
    Table_2_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX

    Table_2_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX by Hong Gu (68558)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  7. 147
    Table_2_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX

    Table_2_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX by Hong Gu (68558)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  8. 148
    Table_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX

    Table_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX by Hong Gu (68558)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  9. 149
    Table_3_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX

    Table_3_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX by Hong Gu (68558)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  10. 150
    Table_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX

    Table_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX by Hong Gu (68558)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  11. 151
    Table_4_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX

    Table_4_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX by Hong Gu (68558)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  12. 152
    Table_4_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX

    Table_4_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX by Hong Gu (68558)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  13. 153
    Identification of hub genes from the PPI network by bottleneck algorithm using the cytoHubba Cytoscape plugin.

    Identification of hub genes from the PPI network by bottleneck algorithm using the cytoHubba Cytoscape plugin. by Cihat Erdogan (12529243)

    Published 2024
    Save to List
    Saved in:
  14. 154
    Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX

    Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

    Published 2021
    Save to List
    Saved in:
  15. 155
    Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX

    Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

    Published 2021
    Save to List
    Saved in:
  16. 156
    Table4_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX

    Table4_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

    Published 2021
    Save to List
    Saved in:
  17. 157
    Table1_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX

    Table1_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

    Published 2021
    Save to List
    Saved in:
  18. 158
    Results of the application of different clustering algorithms to average functional connectivity from healthy subjects.

    Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

    Published 2023
    “…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”
    Save to List
    Saved in:
  19. 159
    PathOlOgics_RBCs Python Scripts.zip

    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
    Save to List
    Saved in:
  20. 160
    Expression and functional analysis of MRGs.

    Expression and functional analysis of MRGs. by Xuefen Lin (17785367)

    Published 2025
    Save to List
    Saved in:

Search Tools: