Showing 121 - 140 results of 661 for search '(((( algorithm pre functional ) OR ( algorithm cl function ))) OR ( algorithm python function ))', query time: 0.54s Refine Results
  1. 121

    DataSheet1_Benefits and Challenges of Pre-clustered Network-Based Pathway Analysis.CSV by Miguel Castresana-Aguirre (12521683)

    Published 2022
    “…<p>Functional analysis of gene sets derived from experiments is typically done by pathway annotation. …”
  2. 122
  3. 123

    Machine Learning-Aided Structure Determination for TiCl<sub>4</sub>–Capped MgCl<sub>2</sub> Nanoplate of Heterogeneous Ziegler–Natta Catalyst by Gentoku Takasao (6382694)

    Published 2019
    “…Here, we report nonempirical structure determination of TiCl<sub>4</sub>-capped MgCl<sub>2</sub> nanoplates that is based on the combination of a genetic algorithm and density functional calculations. …”
  4. 124

    Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. The suggested strategy facilitates the acquisition of precise functionality attributes, hence simplifying the detection procedure. …”
  5. 125
  6. 126

    BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

    Published 2019
    “…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”
  7. 127
  8. 128

    Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

    Published 2025
    “…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”
  9. 129
  10. 130
  11. 131

    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. …”
  12. 132

    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. …”
  13. 133
  14. 134
  15. 135
  16. 136

    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. …”
  17. 137
  18. 138
  19. 139
  20. 140