Showing 161 - 180 results of 676 for search '(( python tool predicted ) OR ( python code implementation ))', query time: 0.38s Refine Results
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    Python software for calculating the area under a curve by Wenfa Ng (444092)

    Published 2019
    “…Modularity in the software code ensures that the Python software can be readily adapted to calculate the area under the curve for other mathematical functions. …”
  3. 163

    Table_1_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.xlsx by Kirill Batmanov (3722374)

    Published 2019
    “…However, current computational tools process DNA sequence variants individually, when predicting the effect on protein-DNA binding. …”
  4. 164

    Table_2_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.docx by Kirill Batmanov (3722374)

    Published 2019
    “…However, current computational tools process DNA sequence variants individually, when predicting the effect on protein-DNA binding. …”
  5. 165

    Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

    Published 2020
    “…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”
  6. 166

    Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

    Published 2020
    “…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”
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    code implementing the finite element method and finite difference method from Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology by Kristina Maier (20520371)

    Published 2025
    “…This dataset contains code implementing the finite element method based on Kaskade 7 (C++) and code implementing the finite difference method (Python) for the development of hybrid PDE-ODE models aimed at efficiently simulating infection spread in epidemiology. …”
  14. 174

    Data_Sheet_1_ImputEHR: A Visualization Tool of Imputation for the Prediction of Biomedical Data.PDF by Yi-Hui Zhou (546680)

    Published 2021
    “…In addition to imputation, the tool enables data exploration for informed decision-making, as well as implementing machine learning prediction tools for response data selected by the user. …”
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    Poster: PyGMT: Accessing the Generic Mapping Tools from Python by Leonardo Uieda (97471)

    Published 2019
    “…We are using this bridge to develop PyGMT (<a href="http://www.pygmt.org/" rel="nofollow">www.pygmt.org</a>; formerly GMT/Python), an open-source library that allows users of the Python programming language to leverage the almost thirty years of continuous GMT development. …”
  19. 179

    AlacatDesignerComputational Design of Peptide Concatamers for Protein Quantitation by Martin Rusilowicz (14492186)

    Published 2023
    “…The user-customizable tool considers existing databases, occurrence in the literature, potential post-translational modifications, predicted miscleavage, predicted divergence of the peptide and protein quantifications, and ionization potential within the mass spectrometer. …”
  20. 180

    PyLandStats: An open-source Pythonic library to compute landscape metrics by Martí Bosch (8087852)

    Published 2019
    “…The PyLandStats package provides a set of methods to quantify landscape patterns, such as the analysis of the spatiotemporal patterns of land use/land cover change or zonal analysis. The implementation is based on the prevailing Python libraries for geospatial data analysis in a way that they can be forthwith integrated into complex computational workflows. …”