Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm setup » algorithm seu (Expand Search), algorithm steps (Expand Search), algorithm etc (Expand Search)
python function » protein function (Expand Search)
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
Showing 161 - 180 results of 694 for search '(( ((algorithm pca) OR (algorithm setup)) function ) OR ( algorithm python function ))', query time: 0.35s Refine Results
  1. 161
    Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics

    Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

    Published 2021
    “…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
    Save to List
    Saved in:
  2. 162
    Workflow of the BOMS algorithm.

    Workflow of the BOMS algorithm. by Ocima Kamboj (21533199)

    Published 2025
    Save to List
    Saved in:
  3. 163
    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, the temporal molecular states <i>n</i> at specific time <i>t</i> will be generated for further visualization.

    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

    Published 2025
    Save to List
    Saved in:
  4. 164
    Modeling with uniform <i>σ</i> values.

    Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

    Published 2019
    Save to List
    Saved in:
  5. 165
    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling.

    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

    Published 2019
    Save to List
    Saved in:
  6. 166
    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling

    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

    Published 2019
    “…This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …”
    Save to List
    Saved in:
  7. 167
    Genetic algorithms can be applied to higher-dimensional design problems.

    Genetic algorithms can be applied to higher-dimensional design problems. by Lu Hong (399882)

    Published 2024
    Save to List
    Saved in:
  8. 168
    Example of use of the slightly off-axis strategies.

    Example of use of the slightly off-axis strategies. by Raul Castañeda (13932971)

    Published 2022
    Save to List
    Saved in:
  9. 169
    Example of the fully-compensated phase reconstruction package for off-axis DHM holograms recorded in telecentric configuration.

    Example of the fully-compensated phase reconstruction package for off-axis DHM holograms recorded in telecentric configuration. by Raul Castañeda (13932971)

    Published 2022
    Save to List
    Saved in:
  10. 170
    The algorithm underlying neoVM.

    The algorithm underlying neoVM. by Tanmoy Sarkar (627505)

    Published 2024
    Save to List
    Saved in:
  11. 171
    Comparison of edge detector and CHT in detecting droplets.

    Comparison of edge detector and CHT in detecting droplets. by Manibarathi Vaithiyanathan (6655274)

    Published 2019
    Save to List
    Saved in:
  12. 172
    <b>Algorithm Pseudocode</b>

    <b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

    Published 2025
    Save to List
    Saved in:
  13. 173
    Iteration versus fitness function.

    Iteration versus fitness function. by B. Venkatesh (17202747)

    Published 2024
    Save to List
    Saved in:
  14. 174
    Python code, input data, and outputs of Fourier analysis and Dynamic Time Warping from McGlasson et al.

    Python code, input data, and outputs of Fourier analysis and Dynamic Time Warping from McGlasson et al. by Riley McGlasson (13876874)

    Published 2024
    “…</p> <h4><strong>Python Function Files:</strong></h4> <p>radarfuncs.py: Holds three functions used for FFT and DTW analysis.…”
    Save to List
    Saved in:
  15. 175
    A Solvent Selection Framework for Porous Organic Polymers

    A Solvent Selection Framework for Porous Organic Polymers by Xue Fang (648169)

    Published 2025
    “…In this work, we present a solvent selection toolkit for functional porous organic polymers. We have developed the <i>MLoc</i> algorithm for the fast determination of Hansen solubility parameters (HSPs) for novel materials. …”
    Save to List
    Saved in:
  16. 176
    Table_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf

    Table_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

    Published 2020
    Save to List
    Saved in:
  17. 177
    Presentation_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf

    Presentation_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

    Published 2020
    Save to List
    Saved in:
  18. 178
    Table_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf

    Table_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

    Published 2020
    Save to List
    Saved in:
  19. 179
    Image_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf

    Image_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

    Published 2020
    Save to List
    Saved in:
  20. 180
    Presentation_3_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf

    Presentation_3_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

    Published 2020
    Save to List
    Saved in:

Search Tools: