يعرض 161 - 180 نتائج من 302 نتيجة بحث عن '(( python study presented ) OR ( ((python tool) OR (python code)) implementing ))', وقت الاستعلام: 0.46s تنقيح النتائج
  1. 161

    Data Sheet 1_COCαDA - a fast and scalable algorithm for interatomic contact detection in proteins using Cα distance matrices.pdf حسب Rafael Pereira Lemos (9104911)

    منشور في 2025
    "…Here, we introduce COCαDA (COntact search pruning by Cα Distance Analysis), a Python-based command-line tool for improving search pruning in large-scale interatomic protein contact analysis using alpha-carbon (Cα) distance matrices. …"
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    HCC Evaluation Dataset and Results حسب Jens-Rene Giesen (18461928)

    منشور في 2024
    "…The only requirement for running this script is a Python 3.6+ interpreter as well as an installation of the <code>numpy</code> package. …"
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    Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis حسب Alan Glanz (22109698)

    منشور في 2025
    "…</p><h2><b>Included Files</b></h2><h3><b>1. </b><code><strong>GenosophusV2.py</strong></code></h3><p dir="ltr">Executable Python implementation of the Genosophus Engine.…"
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    MCCN Case Study 1 - Evaluate impact from environmental events/pressures حسب Donald Hobern (21435904)

    منشور في 2025
    "…filters=eyJTVEFURSI6WyJBQ1QiXX0=&location=-35.437128,149.203518,11.00</a></li><li><b>caladenia_act.csv</b> - Distribution records for orchids in the genus <i>Caladenia</i> between 1990 and present from the ALA in CSV format: <a href="https://doi.org/10.26197/ala.1e501311-7077-403b-a743-59e096068fa0" target="_blank">https://doi.org/10.26197/ala.1e501311-7077-403b-a743-59e096068fa0</a></li></ul><h4><b>Dependencies</b></h4><ul><li>This notebook requires Python 3.10 or higher</li><li>Install relevant Python libraries with: <b>pip install mccn-engine rocrate</b></li><li>Installing mccn-engine will install other dependencies</li></ul><h4><b>Overview</b></h4><ol><li>Group orchid species records by species</li><li>Prepare STAC metadata records for each data source (separate records for the distribution data for each orchid species)</li><li>Load data cube</li><li>Mask orchid distribution records to boundaries of ACT</li><li>Calculate the proportion of distribution records for each species occurring inside and outside protected areas</li><li>Calculate the proportion of distribution records for each species occurring in areas with each class of vegetation cover</li><li>Report the apparent affinity between each species and protected areas and between each species and different classes of vegetation cover</li></ol><h4><b>Notes</b></h4><ul><li>No attempt is made here to compensate for underlying bias in the areas where observers have spent time recording orchids. …"
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    <i>In vivo</i> identification of <i>Toxoplasma gondii</i> antigenic proteins and <i>in silico</i> study of their polymorphism. حسب Julie DENIS (19696753)

    منشور في 2024
    "…<h2>Abstract</h2><p dir="ltr">This study aims to identify novel candidates for the development of serotyping assays for <i>Toxoplasma gondii</i> (<i>T. gondii</i>). …"
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    Methodological Approach Based on Structural Parameters, Vibrational Frequencies, and MMFF94 Bond Charge Increments for Platinum-Based Compounds حسب Gloria Castañeda-Valencia (20758502)

    منشور في 2025
    "…The developed bci optimization tool, based on MMFF94, was implemented using a Python code made available at https://github.com/molmodcs/bci_solver. …"
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    Environmental Census: Modeling Synthetic Biology Ecological Risk with Metagenomic Enzymatic Data and High-Performance Computing حسب John Docter (22772100)

    منشور في 2025
    "…Improved predictive computational tools are necessary to assess the potential establishment risk and environmental location of these escaped engineered microorganisms, assisting their design and management. Here, we present <i>EnCen</i>, a risk assessment Python software package that predicts the environmental range of engineered microorganisms through annotated functional one-hot-encoded similarity between the engineered microorganism and resident microorganisms of a given environment. …"
  16. 176

    Research Data and Code on Characteristics and Drivers of Plant Diversity in Viaduct Footprint Spaces of a Mountainous, High-Density City—A Case Study of Central Chongqing حسب Junjie Zhang (355622)

    منشور في 2025
    "…<p dir="ltr">This dataset supports the research presented in the article titled "Characteristics and Drivers of Plant Diversity in Viaduct Footprint Spaces of a Mountainous, High-Density City—A Case Study of Central Chongqing."…"
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