Suchergebnisse - (( (statni OR stat) python code analysis ) OR ( studies python code analysis ))

  1. 1

    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 …”
    Volltext
    Journal Article
  2. 2

    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 …”
    Volltext
    Journal Article
  3. 3

    Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study von Bayram, Ali, Menekse Dalveren, Gonca Gokce, Derawi, Mohammad

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Basel MDPI AG 10.09.2025
    Veröffentlicht in Applied sciences (10.09.2025)
    “… This study conducts a comprehensive comparative analysis of six contemporary artificial intelligence models for Python code generation using the HumanEval benchmark …”
    Volltext
    Journal Article
  4. 4

    Python Data Analyst's Toolkit - Learn Python and Python-Based Libraries with Applications in Data Analysis and Statistics von Rajagopalan, Gayathri

    ISBN: 9781484263983, 1484263987, 9781484263990, 1484263995
    Veröffentlicht: Berkeley, CA Apress, an imprint of Springer Nature 2021
    “… Explore the fundamentals of data analysis, and statistics with case studies using Python …”
    Volltext
    E-Book Buch
  5. 5

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

    ISSN: 1061-8600, 1537-2715
    Veröffentlicht: Alexandria Taylor & Francis 01.03.2007
    Veröffentlicht in Journal of computational and graphical statistics (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 …”
    Volltext
    Journal Article
  6. 6

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

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Veröffentlicht: United States Wiley Subscription Services, Inc 30.09.2018
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  7. 7

    GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation von Zong, Xing, Zheng, Shang, Zou, Haitao, Yu, Hualong, Gao, Shang

    ISSN: 0167-6423
    Veröffentlicht: Elsevier B.V 01.12.2024
    Veröffentlicht in Science of computer programming (01.12.2024)
    “… In this study, a graph-based Python recommendation approach (GraphPyRec) is proposed by converting source code into a graph representation that captures both semantic and dynamic information …”
    Volltext
    Journal Article
  8. 8

    Facilitating the Calculation of the Efficient Score Using Symbolic Computing von B. Sibley, Alexander, Li, Zhiguo, Jiang, Yu, Li, Yi-Ju, Chan, Cliburn, Allen, Andrew, Owzar, Kouros

    ISSN: 0003-1305, 1537-2731
    Veröffentlicht: England Taylor & Francis 03.04.2018
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  9. 9

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

    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 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 …”
    Volltext
    Journal Article
  10. 10

    Determination of an inflection point for a dosimetric analysis of unflattened beam using the first principle of derivatives by python code programming von Shende, Ravindra, Gupta, Gourav, Macherla, Subash

    ISSN: 1507-1367, 2083-4640
    Veröffentlicht: Poland Elsevier B.V 01.09.2019
    Veröffentlicht in Reports of practical oncology and radiotherapy (01.09.2019)
    “… (±) of the second derivative. The objective of the study is to determine IPs for dosimetric analysis of the FFF beam profile …”
    Volltext
    Journal Article
  11. 11

    Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python von Sánchez-Morales, J., Pardo-Igúzquiza, E., Rodríguez-Tovar, F.J.

    ISSN: 0098-3004, 1873-7803
    Veröffentlicht: Elsevier Ltd 01.06.2023
    Veröffentlicht in Computers & geosciences (01.06.2023)
    “… Spectral analysis techniques are valuable tools at the disposal of paleoclimate scientists in their research of cyclical phenomena potentially responsible for past climatic fluctuations …”
    Volltext
    Journal Article
  12. 12

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

    Veröffentlicht: IEEE 27.05.2025
    “… Experimental simulations for IEEE 3-bus and IEEE 118-bus networks have been conducted using custom-developed, open-source Python codes and technical insights …”
    Volltext
    Tagungsbericht
  13. 13

    A Severity Assessment of Python Code Smells von Gupta, Aakanshi, Gandhi, Rashmi, Jatana, Nishtha, Jatain, Divya, Panda, Sandeep Kumar, Ramesh, Janjhyam Venkata Naga

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 01.01.2023
    Veröffentlicht in IEEE access (01.01.2023)
    “… This study investigates five code smells diffused in 20 Python software comprising 10550 classes and analyses its severity index using metric distribution at the class level …”
    Volltext
    Journal Article
  14. 14

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

    ISSN: 2624-8212, 2624-8212
    Veröffentlicht: Frontiers Media S.A 12.09.2022
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  15. 15

    A finite element based homogenization code in python: HomPy von Ozdilek, Emin Emre, Ozcakar, Egecan, Muhtaroglu, Nitel, Simsek, Ugur, Gulcan, Orhan, Sendur, Gullu Kiziltas

    ISSN: 0965-9978
    Veröffentlicht: Elsevier Ltd 01.08.2024
    Veröffentlicht in Advances in engineering software (1992) (01.08.2024)
    “… The aim of this educational paper is to present a Python version of the existing homogenization code and provide detailed diagrams of its key modules extending its ability to conduct analysis …”
    Volltext
    Journal Article
  16. 16

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

    ISSN: 2410-9355, 2307-549X
    Veröffentlicht: Koya University 01.10.2025
    Veröffentlicht 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 …”
    Volltext
    Journal Article
  17. 17

    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 …”
    Volltext
    E-Book Buch
  18. 18

    Computing optimum solar tilt angles for photovoltaic applications through python code simulation von Sumair, Muhammad, Pasha, Riffat Asim, Aized, Tauseef, Aslam Bhutta, Muhammad Mahmood, Tehreem, Layba, Shoaib, Muhammad

    ISSN: 1944-7442, 1944-7450
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.09.2023
    Veröffentlicht in Environmental progress & sustainable energy (01.09.2023)
    “… for any location in country, this study was conducted. Python code was developed for the optimization purpose of daily, monthly, seasonally, biannually and annual solar tilt angle …”
    Volltext
    Journal Article
  19. 19

    Robust distributed precision matrix estimation for high-dimensional data von Ye, Yangqing, Yu, Yang, Ma, Xiaoyan, Liang, Wanfeng

    ISSN: 0094-9655, 1563-5163
    Veröffentlicht: Taylor & Francis 24.07.2025
    Veröffentlicht in Journal of statistical computation and simulation (24.07.2025)
    “… Simulation studies and real data analysis demonstrate the superiority of the proposed method. The complete Python code supporting this study can be downloaded from https://github.com/littletesla/RDPM  …”
    Volltext
    Journal Article
  20. 20

    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 …”
    Weitere Angaben
    Journal Article