Výsledky vyhledávání - (( (stated OR state:mi) python code analysis ) OR ( stat python code 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
    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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    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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    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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    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
    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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    Statistics Using Python Autor Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Vydáno: 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
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    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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    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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    Environmental and health risk assessment of polycyclic aromatic hydrocarbons and toxic elements in the red sea using Monte Carlo simulation Autor Sayed, F. Alshaima, Eid, Mohamed Hamdy, El-Sherbeeny, Ahmed M., Abdel-Gawad, Gouda Ismail, Mohamed, Essam A., Abukhadra, Mostafa R.

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 03.02.2025
    Vydáno v Scientific reports (03.02.2025)
    “…This research evaluates the environmental and health risks linked to potentially toxic elements (PTEs) and PAHs along the western coast of the Gulf of Suez,…”
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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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    Entropy in Image Analysis II

    ISBN: 3039431617, 9783039431618, 9783039431601, 3039431609
    Vydáno: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
    “…Image analysis is a fundamental task for any application where extracting information from images is required…”
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    E-kniha
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    Weight-of-evidence approach to identify regionally representative sites for air-quality monitoring network: Satellite data-based analysis Autor Lekinwala, Nirav L, Bharadwaj, Ankur, Sunder Raman, Ramya, Bhushan, Mani, Bali, Kunal, Dey, Sagnik

    ISSN: 2215-0161, 2215-0161
    Vydáno: Elsevier B.V 01.01.2020
    Vydáno v MethodsX (01.01.2020)
    “…The methodology discussed in Lekinwala et al., 2020, hereinafter referred to as the ‘parent article’, is used to setup a nation-wide network for background…”
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    SCoT: a Python toolbox for EEG source connectivity Autor Billinger, Martin, Brunner, Clemens, Müller-Putz, Gernot R.

    ISSN: 1662-5196, 1662-5196
    Vydáno: Switzerland Frontiers Research Foundation 11.03.2014
    Vydáno v Frontiers in neuroinformatics (11.03.2014)
    “…Analysis of brain connectivity has become an important research tool in neuroscience…”
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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 03.04.2018
    Vydáno 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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    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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    PyIOmica: longitudinal omics analysis and trend identification Autor Domanskyi, Sergii, Piermarocchi, Carlo, Mias, George I

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Vydáno: England Oxford University Press 01.04.2020
    Vydáno v Bioinformatics (01.04.2020)
    “…Abstract Summary PyIOmica is an open-source Python package focusing on integrating longitudinal multiple omics datasets, characterizing and categorizing temporal trends…”
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    Enhanced deep learning model for precise nodule localization and recurrence risk prediction following curative-intent surgery for lung cancer Autor Park, Jihwan, Rho, Mi Jung, Moon, Mi Hyoung

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science 12.07.2024
    Vydáno v PloS one (12.07.2024)
    “…Radical surgery is the primary treatment for early-stage resectable lung cancer, yet recurrence after curative surgery is not uncommon. Identifying patients at…”
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