Search Results - (( (state:in OR studies) python code analysis ) OR ( stat python code analysis ))*

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  1. 1

    Percolation theory using Python by Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Published: 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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    eBook Book
  2. 2

    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 by Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882, 1520-6882
    Published: United States 17.11.2020
    Published 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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    Journal Article
  3. 3

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

    ISSN: 2072-6694, 2072-6694
    Published: Switzerland MDPI AG 17.07.2025
    Published 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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    Journal Article
  4. 4

    Statistics Using Python by Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Published: 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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    eBook
  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 by de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Published: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    Published 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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    Journal Article
  6. 6

    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial by 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
    Published: England Wiley Subscription Services, Inc 30.01.2022
    Published 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…”
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    Journal Article
  7. 7

    Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code by 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
    Published: 01.02.2022
    Published 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…”
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    Journal Article
  8. 8

    PyLAT: Python LAMMPS Analysis Tools by Humbert, Michael T, Zhang, Yong, Maginn, Edward J

    ISSN: 1549-960X, 1549-960X
    Published: 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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    Journal Article
  9. 9

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

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.01.2023
    Published 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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    Journal Article
  10. 10

    PBjam: A Python Package for Automating Asteroseismology of Solar-like Oscillators by 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
    Published: Madison IOP Publishing 01.02.2021
    Published in 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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    Journal Article
  11. 11

    SBML2HYB: a Python interface for SBML compatible hybrid modeling by Pinto, José, Costa, Rafael S, Alexandre, Leonardo, Ramos, João, Oliveira, Rui

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.01.2023
    Published in 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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    Journal Article
  12. 12

    Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics by Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Published: 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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    Journal Article
  13. 13

    VULCAN: An Open-source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres by Tsai, Shang-Min, Lyons, James R., Grosheintz, Luc, Rimmer, Paul B., Kitzmann, Daniel, Heng, Kevin

    ISSN: 0067-0049, 1538-4365
    Published: 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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    Journal Article
  14. 14

    MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials by Singh, Sobhit, Lang, Logan, Dovale-Farelo, Viviana, Herath, Uthpala, Tavadze, Pedram, Coudert, François-Xavier, Romero, Aldo H.

    ISSN: 0010-4655, 1879-2944
    Published: United States Elsevier B.V 01.10.2021
    Published 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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  15. 15

    Snakes on a Spaceship - An Overview of Python in Heliophysics by 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
    Published: 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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  16. 16

    False Discovery Rate Smoothing by Tansey, Wesley, Koyejo, Oluwasanmi, Poldrack, Russell A., Scott, James G.

    ISSN: 0162-1459, 1537-274X, 1537-274X
    Published: Alexandria Taylor & Francis 03.07.2018
    “… In simulation studies, FDR smoothing exhibits state-of-the-art performance at modest computational cost…”
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  17. 17

    A Study of Large Language Models in Detecting Python Code Violations by Mohammed Salih, Hekar A., Sarhan, Qusay I.

    ISSN: 2410-9355, 2307-549X
    Published: Koya University 01.10.2025
    Published in ARO (Koya) (01.10.2025)
    “… This study investigates the effectiveness of large language models (LLMs) compared to traditional static code analysis tools in detecting Python coding violations…”
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    Journal Article
  18. 18

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

    ISSN: 1752-0509, 1752-0509
    Published: London BioMed Central 08.08.2013
    Published in 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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    Journal Article
  19. 19

    PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pKa Calculations by Reis, Pedro B P S, Vila-Viçosa, Diogo, Rocchia, Walter, Machuqueiro, Miguel

    ISSN: 1549-960X, 1549-960X
    Published: 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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  20. 20

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

    ISSN: 2376-5992, 2376-5992
    Published: United States PeerJ. Ltd 29.05.2023
    Published in 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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