Výsledky vyhľadávania - (( (skratene OR state) python code analysis ) OR ( studies python code analysis ))

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  1. 1

    Pytim: A python package for the interfacial analysis of molecular simulations Autor Sega, Marcello, Hantal, György, Fábián, Balázs, Jedlovszky, Pál

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Vydavateľské údaje: United States Wiley Subscription Services, Inc 30.09.2018
    Vydané v Journal of computational chemistry (30.09.2018)
    “… The code implements several algorithms for the identification of instantaneous interfaces of arbitrary shape, and analysis tools written specifically for the study of interfacial properties, such as intrinsic profiles…”
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    SBML2HYB: a Python interface for SBML compatible hybrid modeling Autor Pinto, José, Costa, Rafael S, Alexandre, Leonardo, Ramos, João, Oliveira, Rui

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydavateľské údaje: England Oxford University Press 01.01.2023
    Vydané v Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Summary Here, we present sbml2hyb, an easy-to-use standalone Python tool that facilitates the conversion of existing mechanistic models of biological systems in Systems Biology Markup Language (SBML…”
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  3. 3

    A Comparative Analysis of Machine Learning Based Power Flow Study with Custom Made Open Source Python Codes Autor Ahmad, Bilal, Nduka, Onyema

    Vydavateľské údaje: IEEE 27.05.2025
    “…Power flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power grid…”
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  4. 4

    SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data Autor Li, Chang, Ma, Kevin, Xu, Nicole, Fu, Chenjian, He, Andrew, Liu, Xiaoming, Bai, Yongsheng

    ISSN: 2624-8212, 2624-8212
    Vydavateľské údaje: Frontiers Media S.A 12.09.2022
    Vydané v Frontiers in artificial intelligence (12.09.2022)
    “… In this study, we updated SNPAAMapper, a variant annotation pipeline by converting perl codes to python for generating annotation output with an improved computational efficiency and updated…”
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  5. 5

    Python code smells detection using conventional machine learning models Autor Sandouka, Rana, Aljamaan, Hamoud

    ISSN: 2376-5992, 2376-5992
    Vydavateľské údaje: United States PeerJ. Ltd 29.05.2023
    Vydané v PeerJ. Computer science (29.05.2023)
    “… Therefore, code smell detection is important in software building. Recent studies utilized machine learning algorithms for code smell detection…”
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    Snakes on a Spaceship - An Overview of Python in Heliophysics Autor Burrell, A.G., Halford, A., Klenzing, J., Stoneback, R. A., Morley, S. K., Annex, A. M., Laundal, K. M., Kellerman, A. C., Stansby, D., Ma, J.

    ISSN: 2169-9380, 2169-9402
    Vydavateľské údaje: Goddard Space Flight Center AGU - American Geophysical Union 01.12.2018
    “…Computational analysis has become ubiquitous within the heliophysics community. However, community standards for peer review of codes and analysis have lagged behind these developments…”
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    MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials Autor Singh, Sobhit, Lang, Logan, Dovale-Farelo, Viviana, Herath, Uthpala, Tavadze, Pedram, Coudert, François-Xavier, Romero, Aldo H.

    ISSN: 0010-4655, 1879-2944
    Vydavateľské údaje: United States Elsevier B.V 01.10.2021
    Vydané v Computer physics communications (01.10.2021)
    “…The MechElastic Python package evaluates the mechanical and elastic properties of bulk and 2D materials using the elastic coefficient matrix (Cij…”
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  8. 8

    PETAL: a Python tool for deep analysis of biological pathways Autor Sgroi, Giuseppe, Russo, Giulia, Pappalardo, Francesco

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydavateľské údaje: England Oxford University Press 01.04.2021
    Vydané v Bioinformatics (Oxford, England) (01.04.2021)
    “… Here, we developed PETAL, a Python tool that automatically explores and detects the most relevant nodes within a KEGG pathway, scanning and performing an in-depth search…”
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    pyMBE: The Python-based molecule builder for ESPResSo Autor Beyer, David, Torres, Paola B, Pineda, Sebastian P, Narambuena, Claudio F, Grad, Jean-Noël, Košovan, Peter, Blanco, Pablo M

    ISSN: 1089-7690
    Vydavateľské údaje: United States 14.07.2024
    Vydané v The Journal of chemical physics (14.07.2024)
    “…We present the Python-based Molecule Builder for ESPResSo (pyMBE), an open source software application to design custom coarse-grained (CG…”
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  10. 10

    COBRApy: COnstraints-Based Reconstruction and Analysis for Python Autor Ebrahim, Ali, Lerman, Joshua A, Palsson, Bernhard O, Hyduke, Daniel R

    ISSN: 1752-0509, 1752-0509
    Vydavateľské údaje: London BioMed Central 08.08.2013
    Vydané v BMC systems biology (08.08.2013)
    “…Background COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes…”
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    Gnocis: An integrated system for interactive and reproducible analysis and modelling of cis-regulatory elements in Python 3 Autor Bredesen-Aa, Bjørn André, Rehmsmeier, Marc

    ISSN: 1932-6203, 1932-6203
    Vydavateľské údaje: San Francisco Public Library of Science 09.09.2022
    Vydané v PloS one (09.09.2022)
    “… methods for the genome-wide prediction of candidate CREs. We here present Gnocis, a Python package that streamlines the analysis and the modelling of CRE sequences…”
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    Kssdtree: an interactive Python package for phylogenetic analysis based on sketching technique Autor Yang, Hang, Lu, Xiaoxin, Chang, Jiaxing, Chang, Qing, Zheng, Wen, Chen, Zehua, Yi, Huiguang

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydavateľské údaje: England Oxford University Press 01.10.2024
    Vydané v Bioinformatics (Oxford, England) (01.10.2024)
    “… These limitations collectively impede the overall convenience and efficiency of the analysis. In this study, we introduce Kssdtree, an interactive Python package designed to address these challenges…”
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    MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics Autor Haiman, Zachary B., Zielinski, Daniel C., Koike, Yuko, Yurkovich, James T., Palsson, Bernhard O.

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Vydavateľské údaje: United States Public Library of Science 28.01.2021
    Vydané v PLoS computational biology (28.01.2021)
    “… MASSpy adds dynamic modeling tools to the COnstraint-Based Reconstruction and Analysis Python (COBRApy…”
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    VAMPyR-A high-level Python library for mathematical operations in a multiwavelet representation Autor Bjørgve, Magnar, Tantardini, Christian, Jensen, Stig Rune, Gerez S, Gabriel A, Wind, Peter, Di Remigio Eikås, Roberto, Dinvay, Evgueni, Frediani, Luca

    ISSN: 1089-7690
    Vydavateľské údaje: United States 28.04.2024
    Vydané v The Journal of chemical physics (28.04.2024)
    “…), they provide a framework that narrows the gap between the theoretical formalism of the fundamental equations and the practical implementation in a working code…”
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    LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation Autor Fakhoury, Sarah, Naik, Aaditya, Sakkas, Georgios, Chakraborty, Saikat, Lahiri, Shuvendu K.

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: New York IEEE 01.09.2024
    “… Through a mixed methods user study with 15 programmers, we present an empirical evaluation of the effectiveness of the workflow to improve code generation accuracy…”
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    ColiCoords: A Python package for the analysis of bacterial fluorescence microscopy data Autor Smit, Jochem H., Li, Yichen, Warszawik, Eliza M., Herrmann, Andreas, Cordes, Thorben

    ISSN: 1932-6203, 1932-6203
    Vydavateľské údaje: United States Public Library of Science 19.06.2019
    Vydané v PloS one (19.06.2019)
    “…Single-molecule fluorescence microscopy studies of bacteria provide unique insights into the mechanisms of cellular processes and protein machineries in ways that are unrivalled by any other…”
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    Discovering Repetitive Code Changes in Python ML Systems Autor Dilhara, Malinda, Ketkar, Ameya, Sannidhi, Nikhith, Dig, Danny

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.05.2022
    “… To fill the knowledge gap and advance the science and tooling in ML software evolution, we conducted the first and most fine-grained study on code change patterns in a diverse corpus of 1000 top…”
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    BatAnalysis: A Comprehensive Python Pipeline for Swift BAT Survey Analysis Autor Parsotan, Tyler, Laha, Sibasish, Palmer, David M., Lien, Amy, Cenko, S. Bradley, Krimm, Hans, Markwardt, Craig

    ISSN: 0004-637X, 1538-4357
    Vydavateľské údaje: Goddard Space Flight Center The American Astronomical Society 01.08.2023
    Vydané v The Astrophysical journal (01.08.2023)
    “…The Swift Burst Alert Telescope (BAT) is a coded aperture gamma-ray instrument with a large field of view that primarily operates in survey mode when it is not…”
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    A study on the changes of dynamic feature code when fixing bugs: towards the benefits and costs of Python dynamic features Autor Chen, Zhifei, Ma, Wanwangying, Lin, Wei, Chen, Lin, Li, Yanhui, Xu, Baowen

    ISSN: 1674-733X, 1869-1919
    Vydavateľské údaje: Beijing Science China Press 2018
    “… We present the first study that analyzes the changes of dynamic feature code and the roles of dynamic features in bug-fix activities for the Python language…”
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    fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model Autor McGibbon, Jeremy, Brenowitz, Noah D., Cheeseman, Mark, Clark, Spencer K., Dahm, Johann P. S., Davis, Eddie C., Elbert, Oliver D., George, Rhea C., Harris, Lucas M., Henn, Brian, Kwa, Anna, Perkins, W. Andre, Watt-Meyer, Oliver, Wicky, Tobias F., Bretherton, Christopher S., Fuhrer, Oliver

    ISSN: 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
    Vydavateľské údaje: Katlenburg-Lindau Copernicus GmbH 16.07.2021
    Vydané v Geoscientific Model Development (16.07.2021)
    “… As a result, researchers who use high-productivity languages for exploratory work often find these codes hard to understand, hard to modify, and hard to integrate with their analysis tools…”
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