Suchergebnisse - (( (stavebna OR state) python code analysis ) OR ( state:ne python code analysis ))

  1. 1

    The CoLoMoTo Interactive Notebook: Accessible and Reproducible Computational Analyses for Qualitative Biological Networks von Naldi, Aurélien, Hernandez, Céline, Levy, Nicolas, Stoll, Gautier, Monteiro, Pedro T., Chaouiya, Claudine, Helikar, Tomáš, Zinovyev, Andrei, Calzone, Laurence, Cohen-Boulakia, Sarah, Thieffry, Denis, Paulevé, Loïc

    ISSN: 1664-042X, 1664-042X
    Veröffentlicht: Switzerland Frontiers 19.06.2018
    Veröffentlicht in Frontiers in physiology (19.06.2018)
    “… The accessibility and reproducibility of such workflows is challenging, as publications often overlook analysis details, and because some of these tools may be difficult to install, and/or have a steep learning curve …”
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    Development of a New Thermal-Hydraulic Module for FRENETIC, a Code for the Multiphysics Analysis of Liquid Metal–Cooled Reactors von Lombardo, Antonino, Nallo, Giuseppe F., Abrate, Nicolò, Liu, Yapeng, Dulla, Sandra

    ISSN: 0029-5450, 1943-7471
    Veröffentlicht: La Grange Park American Nuclear Society 03.10.2025
    Veröffentlicht in Nuclear technology (03.10.2025)
    “… This code facilitates steady-state and transient neutronic (NE) and TH coupled calculations while maintaining low computational costs through simplified physical models …”
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    REGALS : a general method to deconvolve X-ray scattering data from evolving mixtures von Meisburger, Steve P., Xu, Da, Ando, Nozomi

    ISSN: 2052-2525, 2052-2525
    Veröffentlicht: England International Union of Crystallography 01.03.2021
    Veröffentlicht in IUCrJ (01.03.2021)
    “… Mixtures of biological macromolecules are inherently difficult to study using structural methods, as increasing complexity presents new challenges for data analysis …”
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    NuRadioMC: simulating the radio emission of neutrinos from interaction to detector von Glaser, C., García-Fernández, D., Nelles, A., Alvarez-Muñiz, J., Barwick, S. W., Besson, D. Z., Clark, B. A., Connolly, A., Deaconu, C., de Vries, K. D., Hanson, J. C., Hokanson-Fasig, B., Lahmann, R., Latif, U., Kleinfelder, S. A., Persichilli, C., Pan, Y., Pfendner, C., Plaisier, I., Seckel, D., Torres, J., Toscano, S., van Eijndhoven, N., Vieregg, A., Welling, C., Winchen, T., Wissel, S. A.

    ISSN: 1434-6044, 1434-6052
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 31.01.2020
    “… NuRadioMC is designed as a modern, modular Python-based framework, combining flexibility in detector design with user-friendliness …”
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    GSEApy: a comprehensive package for performing gene set enrichment analysis in Python von Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Veröffentlicht: England Oxford University Press 01.01.2023
    Veröffentlicht in Bioinformatics (Oxford, England) (01.01.2023)
    “… Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes …”
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    VULCAN: An Open-source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres von Tsai, Shang-Min, Lyons, James R., Grosheintz, Luc, Rimmer, Paul B., Kitzmann, Daniel, Heng, Kevin

    ISSN: 0067-0049, 1538-4365
    Veröffentlicht: United States The American Astronomical Society 01.02.2017
    Veröffentlicht in The Astrophysical journal. Supplement series (01.02.2017)
    “… We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN …”
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    MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials von Singh, Sobhit, Lang, Logan, Dovale-Farelo, Viviana, Herath, Uthpala, Tavadze, Pedram, Coudert, François-Xavier, Romero, Aldo H.

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: United States Elsevier B.V 01.10.2021
    Veröffentlicht in 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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    scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data von Faure, Louis, Soldatov, Ruslan, Kharchenko, Peter V, Adameyko, Igor

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Veröffentlicht: England Oxford University Press 01.01.2023
    Veröffentlicht in Bioinformatics (Oxford, England) (01.01.2023)
    “… Abstract Summary scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a …”
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    pyIAST: Ideal adsorbed solution theory (IAST) Python package von Simon, Cory M., Smit, Berend, Haranczyk, Maciej

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: Netherlands Elsevier B.V 01.03.2016
    Veröffentlicht in Computer physics communications (01.03.2016)
    “… We present an open-source, user-friendly Python package, pyIAST, to perform IAST calculations for an arbitrary number of components …”
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    PHOTONAI—A Python API for rapid machine learning model development von Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: San Francisco Public Library of Science 21.07.2021
    Veröffentlicht in PloS one (21.07.2021)
    “… PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development …”
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    pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods von Behdenna, Abdelkader, Colange, Maximilien, Haziza, Julien, Gema, Aryo, Appé, Guillaume, Azencott, Chloé-Agathe, Nordor, Akpéli

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 07.12.2023
    Veröffentlicht in BMC bioinformatics (07.12.2023)
    “… Results In this technical note, we present a new Python implementation of ComBat and ComBat-Seq …”
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    stk: A python toolkit for supramolecular assembly von Turcani, Lukas, Berardo, Enrico, Jelfs, Kim E.

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 05.09.2018
    Veröffentlicht in Journal of computational chemistry (05.09.2018)
    “… stk is a modular, extensible and open‐source Python library that provides a simple Python API and integration with third party computational codes …”
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    SciPy 1.0: fundamental algorithms for scientific computing in Python von Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.03.2020
    Veröffentlicht in Nature methods (01.03.2020)
    “… Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages …”
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    PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces von Singh, Gursimran, Chharia, Aviral, Upadhyay, Rahul, Kumar, Vinay, Longo, Luca

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 06.08.2025
    Veröffentlicht in PloS one (06.08.2025)
    “… PyNoetic is one of the very few frameworks in Python that encompasses the entire BCI design pipeline, from stimulus presentation and data …”
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    Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured Samples von Mengesha, Betelhiem N, Grizzle, Andrew C, Demisse, Wondwosen, Klein, Kate L, Elliott, Amy, Tyagi, Pawan

    ISSN: 1996-1944, 1996-1944
    Veröffentlicht: Basel MDPI AG 01.09.2023
    Veröffentlicht in Materials (01.09.2023)
    “… Additively manufactured metal components often have rough and uneven surfaces, necessitating post-processing and surface polishing. Hardness is a critical …”
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    Snakes on a Spaceship - An Overview of Python in Heliophysics von 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
    Veröffentlicht: 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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    Python code smells detection using conventional machine learning models von Sandouka, Rana, Aljamaan, Hamoud

    ISSN: 2376-5992, 2376-5992
    Veröffentlicht: United States PeerJ. Ltd 29.05.2023
    Veröffentlicht in PeerJ. Computer science (29.05.2023)
    “… This article proposes a Python code smell dataset for Large Class and Long Method code smells …”
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    CRYSTALpytools: A Python infrastructure for the Crystal code von Camino, Bruno, Zhou, Huanyu, Ascrizzi, Eleonora, Boccuni, Alberto, Bodo, Filippo, Cossard, Alessandro, Mitoli, Davide, Ferrari, Anna Maria, Erba, Alessandro, Harrison, Nicholas M.

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: Elsevier B.V 01.11.2023
    Veröffentlicht in Computer physics communications (01.11.2023)
    “… CRYSTALpytools is an open source Python project available on GitHub that implements a user-friendly interface to the Crystal code for quantum-mechanical condensed matter simulations …”
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    Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals von Combrisson, Etienne, Nest, Timothy, Brovelli, Andrea, Ince, Robin A. A., Soto, Juan L. P., Guillot, Aymeric, Jerbi, Karim

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Veröffentlicht: United States Public Library of Science 29.10.2020
    Veröffentlicht in PLoS computational biology (29.10.2020)
    “… Current research in the field is not only hampered by the absence of a gold standard for PAC analysis, but also by the computational costs of running exhaustive computations on large and high …”
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