Výsledky vyhľadávania - (( (state OR studies) python code analysis ) OR ( stat python code analysis ))~

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  1. 1

    Percolation theory using Python Autor Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Vydavateľské údaje: 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-kniha Kniha
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    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial Autor 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
    Vydavateľské údaje: England Wiley Subscription Services, Inc 30.01.2022
    Vydané v 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…”
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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 Autor Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882, 1520-6882
    Vydavateľské údaje: United States 17.11.2020
    Vydané v Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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  4. 4

    Statistics Using Python Autor Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Vydavateľské údaje: 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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    E-kniha
  5. 5

    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 Autor de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Vydavateľské údaje: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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    Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration Autor Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

    ISSN: 2072-6694, 2072-6694
    Vydavateľské údaje: Switzerland MDPI AG 17.07.2025
    Vydané v 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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  7. 7

    Statistical Analyses and Reproducible Research Autor Gentleman, Robert, Temple Lang, Duncan

    ISSN: 1061-8600, 1537-2715
    Vydavateľské údaje: Alexandria Taylor & Francis 01.03.2007
    “…It is important, if not essential, to integrate the computations and code used in data analyses, methodological descriptions, simulations, and so on with the documents that describe and rely…”
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    Facilitating the Calculation of the Efficient Score Using Symbolic Computing Autor B. Sibley, Alexander, Li, Zhiguo, Jiang, Yu, Li, Yi-Ju, Chan, Cliburn, Allen, Andrew, Owzar, Kouros

    ISSN: 0003-1305, 1537-2731
    Vydavateľské údaje: England Taylor & Francis 03.04.2018
    Vydané v The American statistician (03.04.2018)
    “… In the analysis of data from high-throughput genomic assays, inference on the basis of the score usually enjoys greater stability, considerably higher computational efficiency, and lends itself…”
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    Python Data Analyst's Toolkit - Learn Python and Python-Based Libraries with Applications in Data Analysis and Statistics Autor Rajagopalan, Gayathri

    ISBN: 9781484263983, 1484263987, 9781484263990, 1484263995
    Vydavateľské údaje: Berkeley, CA Apress, an imprint of Springer Nature 2021
    “…Explore the fundamentals of data analysis, and statistics with case studies using Python…”
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    E-kniha Kniha
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    Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code Autor 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
    Vydavateľské údaje: 01.02.2022
    Vydané v 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…”
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    PyLAT: Python LAMMPS Analysis Tools Autor Humbert, Michael T, Zhang, Yong, Maginn, Edward J

    ISSN: 1549-960X, 1549-960X
    Vydavateľské údaje: United States 22.04.2019
    “… Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT…”
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  12. 12

    GSEApy: a comprehensive package for performing gene set enrichment analysis in Python Autor Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary

    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 Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes…”
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    An extensive study of the effects of different deep learning models on code vulnerability detection in Python code Autor Wang, Rongcun, Xu, Senlei, Ji, Xingyu, Tian, Yuan, Gong, Lina, Wang, Ke

    ISSN: 0928-8910, 1573-7535
    Vydavateľské údaje: New York Springer US 01.05.2024
    Vydané v Automated software engineering (01.05.2024)
    “… However, few studies empirically studied the impacts of different deep learning models on code vulnerability detection in Python…”
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  14. 14

    PBjam: A Python Package for Automating Asteroseismology of Solar-like Oscillators Autor Nielsen, M. B., Davies, G. R., Ball, W. H., Lyttle, A. J., Li 李坦, T. 达, Hall, O. J., Chaplin, W. J., Gaulme, P., Carboneau, L., Ong 王加, J. M. J. 冕, García, R. A., Mosser, B., Roxburgh, I. W., Corsaro, E., Benomar, O., Moya, A., Lund, M. N.

    ISSN: 0004-6256, 1538-3881, 1538-3881
    Vydavateľské údaje: Madison IOP Publishing 01.02.2021
    Vydané v The Astronomical journal (01.02.2021)
    “… So far the process of performing an asteroseismic analysis of a star has remained somewhat esoteric and inaccessible to nonexperts…”
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    PyNose: A Test Smell Detector For Python Autor Wang, Tongjie, Golubev, Yaroslav, Smirnov, Oleg, Li, Jiawei, Bryksin, Timofey, Ahmed, Iftekhar

    ISSN: 2643-1572
    Vydavateľské údaje: IEEE 01.11.2021
    “… In this paper, we strive to extend the research to Python, build a tool for detecting test smells in this language, and conduct an empirical analysis of test smells in Python…”
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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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    Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics Autor Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Vydavateľské údaje: 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 Autor Tsai, Shang-Min, Lyons, James R., Grosheintz, Luc, Rimmer, Paul B., Kitzmann, Daniel, Heng, Kevin

    ISSN: 0067-0049, 1538-4365
    Vydavateľské údaje: United States The American Astronomical Society 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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    Detecting and Explaining Python Name Errors Autor Wang, Jiawei, Li, Li, Liu, Kui, Du, Xiaoning

    ISSN: 0950-5849
    Vydavateľské údaje: Elsevier B.V 01.02.2025
    Vydané v Information and software technology (01.02.2025)
    “… NameError is among one of those errors that are widespread in the Python community, as confirmed in our empirical study…”
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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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