Výsledky vyhledávání - (( (stavebna OR stat) python code analysis ) OR ( state:ny python code analysis ))~

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  1. 1

    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
    Vydáno: Switzerland MDPI AG 17.07.2025
    Vydáno 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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    Journal Article
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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
    Vydáno: England Wiley Subscription Services, Inc 30.01.2022
    Vydáno 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. 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 Autor Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882
    Vydáno: United States 17.11.2020
    Vydáno 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

    Percolation theory using Python Autor Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Vydáno: 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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    Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors Autor Peng, Yun, Gao, Shuzheng, Gao, Cuiyun, Huo, Yintong, Lyu, Michael R.

    ISSN: 1558-1225
    Vydáno: ACM 14.04.2024
    “…As a dynamic programming language, Python has become increasingly popular in recent years…”
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  6. 6

    Discovering Repetitive Code Changes in Python ML Systems Autor Dilhara, Malinda, Ketkar, Ameya, Sannidhi, Nikhith, Dig, Danny

    ISSN: 1558-1225
    Vydáno: ACM 01.05.2022
    “… Despite the extraordinary rise in popularity of Python-based ML systems, they do not benefit from these advances…”
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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 Autor de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Vydáno: 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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    PyTy: Repairing Static Type Errors in Python Autor Chow, Yiu Wai, Di Grazia, Luca, Pradel, Michael

    ISSN: 1558-1225
    Vydáno: ACM 14.04.2024
    “… As more and more code bases get type-annotated, static type checkers detect an increasingly large number of type errors…”
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  10. 10

    A Python Instrument Control and Data Acquisition Suite for Reproducible Research Autor Koerner, Lucas J., Caswell, Thomas A., Allan, Daniel B., Campbell, Stuart I.

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.04.2020
    “… The National Synchrotron Light Source-II (NSLS-II) has generated an open-source Python data acquisition, management, and analysis software suite that automates X-ray…”
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  11. 11

    Bloat beneath Python’s Scales: A Fine-Grained Inter-Project Dependency Analysis Autor Drosos, Georgios-Petros, Sotiropoulos, Thodoris, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISSN: 2994-970X, 2994-970X
    Vydáno: New York, NY, USA ACM 12.07.2024
    “… In this work, we conduct a large-scale, fine-grained analysis to understand bloated dependency code in the PyPI ecosystem…”
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    Nestedness for Dummies (NeD): A user friendly web interface for exploratory nestedness analysis Autor Strona, Giovanni, Galli, Paolo, Seveso, Davide, Montano, Simone, Fattorini, Simone

    ISSN: 1548-7660, 1548-7660
    Vydáno: Foundation for Open Access Statistics 01.08.2014
    Vydáno v Journal of statistical software (01.08.2014)
    “…Recent theoretical advances in nestedness analysis have led to the introduction of several alternative metrics to overcome most of the problems biasing the use of matrix 'temperature' calculated…”
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    SpotFlow: Tracking Method Calls and States at Runtime Autor Hora, Andre

    ISSN: 2574-1934
    Vydáno: ACM 14.04.2024
    “… In this paper, we propose SpotFlow, a tool to ease the runtime analysis of Python programs. With Spot-Flow, practitioners and researchers can easily extract information…”
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  14. 14

    CoverUp: Effective High Coverage Test Generation for Python Autor Altmayer Pizzorno, Juan, Berger, Emery D.

    ISSN: 2994-970X, 2994-970X
    Vydáno: New York, NY, USA ACM 19.06.2025
    “… We evaluate our prototype CoverUp implementation across a benchmark of challenging code derived from open-source Python projects and show that CoverUp substantially improves on the state of the art…”
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  15. 15

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

    ISSN: 2624-8212, 2624-8212
    Vydáno: Frontiers Media S.A 12.09.2022
    Vydáno v 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…”
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    Statistical Analyses and Reproducible Research Autor Gentleman, Robert, Temple Lang, Duncan

    ISSN: 1061-8600, 1537-2715
    Vydáno: 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
    Vydáno: England Taylor & Francis 01.01.2018
    Vydáno v The American statistician (01.01.2018)
    “… 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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    Generation of Scale-Free Assortative Networks via Newman Rewiring for Simulation of Diffusion Phenomena Autor Di Lucchio, Laura, Modanese, Giovanni

    ISSN: 2571-905X, 2571-905X
    Vydáno: Basel MDPI AG 01.02.2024
    Vydáno v Stats (Basel, Switzerland) (01.02.2024)
    “…By collecting and expanding several numerical recipes developed in previous work, we implement an object-oriented Python code, based on the networkX library, for the realization of the configuration…”
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    Restoring Reproducibility of Jupyter Notebooks Autor Wang, Jiawei, Kuo, Tzu-yang, Li, Li, Zeller, Andreas

    Vydáno: ACM 01.10.2020
    “…Jupyter notebooks-documents that contain live code, equations, visualizations, and narrative text-now are among the most popular means to compute, present, discuss and disseminate scientific findings…”
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    Lost in Translation: A Study of Bugs Introduced by Large Language Models While Translating Code Autor Pan, Rangeet, Ibrahimzada, Ali Reza, Krishna, Rahul, Sankar, Divya, Wassi, Lambert Pougeum, Merler, Michele, Sobolev, Boris, Pavuluri, Raju, Sinha, Saurabh, Jabbarvand, Reyhaneh

    ISSN: 1558-1225
    Vydáno: ACM 14.04.2024
    “… The prerequisite for advancing the state of LLM-based code translation is to understand their promises and limitations over existing techniques…”
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