Suchergebnisse - (( (stat 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 …”
    Volltext
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  2. 2

    Percolation theory using Python von Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Veröffentlicht: Cham Springer 2024
    “… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes …”
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    E-Book Buch
  3. 3

    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 Taylor & Francis 03.10.2025
    Veröffentlicht in Nuclear technology (03.10.2025)
    “… The code performs steady-state and transient neutronic (NE) and TH coupled calculations while maintaining a relatively low computational cost thanks to the adoption of simplified physical models …”
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  4. 4

    Statistics Using Python von Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Veröffentlicht: Berlin Mercury Learning and Information 2024
    “… This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors …”
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  5. 5

    Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration von Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

    ISSN: 2072-6694, 2072-6694
    Veröffentlicht: Switzerland MDPI AG 17.07.2025
    Veröffentlicht in Cancers (17.07.2025)
    “… : AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal …”
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    Avogadro: an advanced semantic chemical editor, visualization, and analysis platform von Hanwell, Marcus D, Curtis, Donald E, Lonie, David C, Vandermeersch, Tim, Zurek, Eva, Hutchison, Geoffrey R

    ISSN: 1758-2946, 1758-2946
    Veröffentlicht: Cham Springer International Publishing 13.08.2012
    Veröffentlicht in Journal of cheminformatics (13.08.2012)
    “… Results The work presented here details the Avogadro library, which is a framework providing a code library and application programming interface (API …”
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  7. 7

    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial von Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

    ISSN: 0277-6715, 1097-0258, 1097-0258
    Veröffentlicht: England Wiley Subscription Services, Inc 30.01.2022
    Veröffentlicht in Statistics in medicine (30.01.2022)
    “… The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome. However, it is not always possible to randomize …”
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    LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data von Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882, 1520-6882
    Veröffentlicht: United States 17.11.2020
    Veröffentlicht in Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification …”
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    Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code von Baliu-Rodriguez, David, Peraino, Nicholas J, Premathilaka, Sanduni H, Birbeck, Johnna A, Baliu-Rodriguez, Tomás, Westrick, Judy A, Isailovic, Dragan

    ISSN: 1520-5851, 1520-5851
    Veröffentlicht: 01.02.2022
    Veröffentlicht in Environmental science & technology (01.02.2022)
    “… Cyanotoxins called microcystins (MCs) are highly toxic and can be present in drinking water sources. Determining the structure of MCs is paramount because of …”
    Weitere Angaben
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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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    PyLAT: Python LAMMPS Analysis Tools von Humbert, Michael T, Zhang, Yong, Maginn, Edward J

    ISSN: 1549-960X, 1549-960X
    Veröffentlicht: United States 22.04.2019
    Veröffentlicht in Journal of chemical information and modeling (22.04.2019)
    “… Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT …”
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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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    Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics von Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Veröffentlicht: New York Springer-Verlag 01.02.2013
    “… Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics …”
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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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    From code to reliability: Python-powered Paraconsistent Logic for alarm detection in the power gris/ Do codigo a confiabilidade: Logica Paraconsistente impulsionada por Python para a deteccao de alarmes na rede de energia von de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Veröffentlicht: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    Veröffentlicht in GeSec : Revista de Gestão e Secretariado (01.10.2023)
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis …”
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    PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pKa Calculations von Reis, Pedro B P S, Vila-Viçosa, Diogo, Rocchia, Walter, Machuqueiro, Miguel

    ISSN: 1549-960X, 1549-960X
    Veröffentlicht: 26.10.2020
    Veröffentlicht in Journal of chemical information and modeling (26.10.2020)
    “… The protonation of titratable residues has a significant impact on the structure and function of biomolecules, influencing many physicochemical and ADME …”
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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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    Coherent manipulation of the internal state of ultracold 87Rb133Cs molecules with multiple microwave fields von Blackmore, Jacob A, Gregory, Philip D, Bromley, Sarah L, Cornish, Simon L

    ISSN: 1463-9084, 1463-9084
    Veröffentlicht: 21.12.2020
    Veröffentlicht in Physical chemistry chemical physics : PCCP (21.12.2020)
    “… We explore coherent multi-photon processes in 87Rb133Cs molecules using 3-level lambda and ladder configurations of rotational and hyperfine states, and discuss their relevance to future applications …”
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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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