Suchergebnisse - (( (staten OR stat) python code analysis ) OR ( state:oh python code analysis ))

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  1. 1

    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
  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

    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. However, it is not always possible to randomize …”
    Volltext
    Journal Article
  4. 4

    Statistics Using Python von Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Veröffentlicht: 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 …”
    Volltext
    E-Book
  5. 5

    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
  6. 6

    VeVaPy, a Python Platform for Efficient Verification and Validation of Systems Biology Models with Demonstrations Using Hypothalamic-Pituitary-Adrenal Axis Models von Parker, Christopher, Nelson, Erik, Zhang, Tongli

    ISSN: 1099-4300, 1099-4300
    Veröffentlicht: Switzerland MDPI AG 29.11.2022
    Veröffentlicht in Entropy (Basel, Switzerland) (29.11.2022)
    “… VeVaPy includes four functional modules coded in Python, and the source code is publicly available …”
    Volltext
    Journal Article
  7. 7

    Automated Estimation of Aquifer Parameters from Arbitrary‐Rate Pumping Tests in Python and MATLAB von Benson, David A.

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Veröffentlicht: Malden, US Blackwell Publishing Ltd 01.03.2024
    Veröffentlicht in Ground water (01.03.2024)
    “… Inspired by the analysis by Mishra et al. (2012) of variable pumping rate tests using piecewise …”
    Volltext
    Journal Article
  8. 8

    ogs5py: A Python‐API for the OpenGeoSys 5 Scientific Modeling Package von Müller, Sebastian, Zech, Alraune, Heße, Falk

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Veröffentlicht: Malden, US Blackwell Publishing Ltd 01.01.2021
    Veröffentlicht in Ground water (01.01.2021)
    “… High‐performance numerical codes are an indispensable tool for hydrogeologists when modeling subsurface flow and transport systems …”
    Volltext
    Journal Article
  9. 9

    Visualization of Aqueous Geochemical Data Using Python and WQChartPy von Yang, Jing, Liu, Honghua, Tang, Zhonghua, Peeters, Luk, Ye, Ming

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Veröffentlicht: Malden, US Blackwell Publishing Ltd 01.07.2022
    Veröffentlicht in Ground water (01.07.2022)
    “… This method note presents WQChartPy, an open‐source Python package developed to plot a total of 12 diagrams for analysis of aqueous geochemical data …”
    Volltext
    Journal Article
  10. 10

    Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data von Pakkir Shah, Abzer K., Walter, Axel, Ottosson, Filip, Russo, Francesco, Navarro-Diaz, Marcelo, Boldt, Judith, Kalinski, Jarmo-Charles J., Kontou, Eftychia Eva, Elofson, James, Polyzois, Alexandros, González-Marín, Carolina, Farrell, Shane, Aggerbeck, Marie R., Pruksatrakul, Thapanee, Chan, Nathan, Wang, Yunshu, Pöchhacker, Magdalena, Brungs, Corinna, Cámara, Beatriz, Caraballo-Rodríguez, Andrés Mauricio, Cumsille, Andres, de Oliveira, Fernanda, Dührkop, Kai, El Abiead, Yasin, Geibel, Christian, Graves, Lana G., Hansen, Martin, Heuckeroth, Steffen, Knoblauch, Simon, Kostenko, Anastasiia, Kuijpers, Mirte C. M., Mildau, Kevin, Papadopoulos Lambidis, Stilianos, Portal Gomes, Paulo Wender, Schramm, Tilman, Steuer-Lodd, Karoline, Stincone, Paolo, Tayyab, Sibgha, Vitale, Giovanni Andrea, Wagner, Berenike C., Xing, Shipei, Yazzie, Marquis T., Zuffa, Simone, de Kruijff, Martinus, Beemelmanns, Christine, Link, Hannes, Mayer, Christoph, van der Hooft, Justin J. J., Damiani, Tito, Pluskal, Tomáš, Dorrestein, Pieter, Stanstrup, Jan, Schmid, Robin, Wang, Mingxun, Aron, Allegra, Ernst, Madeleine, Petras, Daniel

    ISSN: 1754-2189, 1750-2799, 1750-2799
    Veröffentlicht: London Nature Publishing Group UK 01.01.2025
    Veröffentlicht in Nature protocols (01.01.2025)
    “… We provide explanations and code in two scripting languages (R and Python) as well …”
    Volltext
    Journal Article
  11. 11

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

    ISSN: 2178-9010, 2178-9010
    Veröffentlicht: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    Veröffentlicht 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 …”
    Volltext
    Journal Article
  12. 12

    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
  13. 13

    Pastas: Open Source Software for the Analysis of Groundwater Time Series von Collenteur, Raoul A., Bakker, Mark, Caljé, Ruben, Klop, Stijn A., Schaars, Frans

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Veröffentlicht: Malden, US Blackwell Publishing Ltd 01.11.2019
    Veröffentlicht in Ground water (01.11.2019)
    “… ), and the detection of trends and outliers. Pastas is a new and open source Python package for the analysis of hydrogeological time series …”
    Volltext
    Journal Article
  14. 14

    Nestedness for Dummies (NeD): A user friendly web interface for exploratory nestedness analysis von Strona, Giovanni, Galli, Paolo, Seveso, Davide, Montano, Simone, Fattorini, Simone

    ISSN: 1548-7660, 1548-7660
    Veröffentlicht: Foundation for Open Access Statistics 01.08.2014
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  15. 15

    Writing Analytic Element Programs in Python von Bakker, Mark, Kelson, Victor A

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Veröffentlicht: Malden, USA Malden, USA : Blackwell Publishing Inc 01.11.2009
    Veröffentlicht in Ground water (01.11.2009)
    “… With the advent of the Python object-oriented programming language, it has become relatively easy to write analytic element programs …”
    Volltext
    Journal Article
  16. 16

    A Generic Closed‐Loop Contaminant Treatment System Package for MODFLOW 6 von White, Jeremy T., Ewing, John E., Ruskauff, Greg, Rashid, Helal

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Veröffentlicht: Malden, US Blackwell Publishing Ltd 01.01.2023
    Veröffentlicht in Ground water (01.01.2023)
    “… We present a contaminant treatment system (CTS) package for MODFLOW 6 that facilitates the simulation of pump‐and‐treat systems for groundwater remediation …”
    Volltext
    Journal Article
  17. 17

    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 …”
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    Journal Article
  18. 18

    Coupling a Borehole Thermal Model and MT3DMS to Simulate Dynamic Ground Source Heat Pump Efficiency von Zong, Yifei, Valocchi, Albert J., Lin, Yu‐Feng F.

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Veröffentlicht: Malden, US Blackwell Publishing Ltd 01.03.2023
    Veröffentlicht in Ground water (01.03.2023)
    “… In our approach, MT3DMS is the simulator for the two‐dimensional field‐scale heat transport, while new Python modules are developed to analytically solve the thermal transfer process within boreholes and interface iteratively with MT3DMS …”
    Volltext
    Journal Article
  19. 19

    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 …”
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  20. 20

    lefser: implementation of metagenomic biomarker discovery tool, LEfSe, in R von Khleborodova, Asya, Gamboa-Tuz, Samuel D, Ramos, Marcel, Segata, Nicola, Waldron, Levi, Oh, Sehyun

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Veröffentlicht: England Oxford University Press 28.11.2024
    Veröffentlicht in Bioinformatics (Oxford, England) (28.11.2024)
    “… Summary LEfSe is a widely used Python package and Galaxy module for metagenomic biomarker discovery and visualization, utilizing the Kruskal …”
    Volltext
    Journal Article