Suchergebnisse - ((stat OR state) OR statni) python code analysis~

  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

    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
  3. 3

    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
  4. 4

    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
  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

    Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code von 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
    Veröffentlicht: 01.02.2022
    Veröffentlicht 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 …”
    Weitere Angaben
    Journal Article
  7. 7

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

    ISSN: 1549-960X, 1549-960X
    Veröffentlicht: United States 22.04.2019
    Veröffentlicht in Journal of chemical information and modeling (22.04.2019)
    “… Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT …”
    Weitere Angaben
    Journal Article
  8. 8

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

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Veröffentlicht: England Oxford University Press 01.01.2023
    Veröffentlicht in Bioinformatics (Oxford, England) (01.01.2023)
    “… Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes …”
    Volltext
    Journal Article
  9. 9

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

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Veröffentlicht: 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 …”
    Volltext
    Journal Article
  10. 10

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

    ISSN: 0067-0049, 1538-4365
    Veröffentlicht: United States The American Astronomical Society 01.02.2017
    Veröffentlicht in The Astrophysical journal. Supplement series (01.02.2017)
    “… We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN …”
    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

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

    ISSN: 1549-960X, 1549-960X
    Veröffentlicht: 26.10.2020
    Veröffentlicht in Journal of chemical information and modeling (26.10.2020)
    “… The protonation of titratable residues has a significant impact on the structure and function of biomolecules, influencing many physicochemical and ADME …”
    Weitere Angaben
    Journal Article
  13. 13

    stk: A python toolkit for supramolecular assembly von Turcani, Lukas, Berardo, Enrico, Jelfs, Kim E.

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 05.09.2018
    Veröffentlicht in Journal of computational chemistry (05.09.2018)
    “… stk is a modular, extensible and open‐source Python library that provides a simple Python API and integration with third party computational codes …”
    Volltext
    Journal Article
  14. 14

    Coherent manipulation of the internal state of ultracold 87Rb133Cs molecules with multiple microwave fields von Blackmore, Jacob A, Gregory, Philip D, Bromley, Sarah L, Cornish, Simon L

    ISSN: 1463-9084, 1463-9084
    Veröffentlicht: 21.12.2020
    Veröffentlicht in Physical chemistry chemical physics : PCCP (21.12.2020)
    “… We explore coherent multi-photon processes in 87Rb133Cs molecules using 3-level lambda and ladder configurations of rotational and hyperfine states, and discuss their relevance to future applications …”
    Weitere Angaben
    Journal Article
  15. 15

    scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data von Faure, Louis, Soldatov, Ruslan, Kharchenko, Peter V, Adameyko, Igor

    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 scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a …”
    Volltext
    Journal Article
  16. 16

    The fast azimuthal integration Python library: pyFAI von Ashiotis, Giannis, Deschildre, Aurore, Nawaz, Zubair, Wright, Jonathan P., Karkoulis, Dimitrios, Picca, Frédéric Emmanuel, Kieffer, Jérôme

    ISSN: 1600-5767, 0021-8898, 1600-5767
    Veröffentlicht: 5 Abbey Square, Chester, Cheshire CH1 2HU, England International Union of Crystallography 01.04.2015
    Veröffentlicht in Journal of applied crystallography (01.04.2015)
    “… It is written in Python (with binary submodules for improved performance), a language widely accepted and used by the scientific community today, which enables users to easily incorporate the pyFAI library into their processing pipeline …”
    Volltext
    Journal Article
  17. 17

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

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: United States Elsevier B.V 01.10.2021
    Veröffentlicht 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 …”
    Volltext
    Journal Article
  18. 18

    pyIAST: Ideal adsorbed solution theory (IAST) Python package von Simon, Cory M., Smit, Berend, Haranczyk, Maciej

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: Netherlands Elsevier B.V 01.03.2016
    Veröffentlicht in Computer physics communications (01.03.2016)
    “… We present an open-source, user-friendly Python package, pyIAST, to perform IAST calculations for an arbitrary number of components …”
    Volltext
    Journal Article
  19. 19

    Short communication: age2exhume – a MATLAB/Python script to calculate steady-state vertical exhumation rates from thermochronometric ages and application to the Himalaya von van der Beek, Peter, Schildgen, Taylor F.

    ISSN: 2628-3719, 2628-3697, 2628-3719
    Veröffentlicht: Göttingen Copernicus GmbH 16.01.2023
    Veröffentlicht in Geochronology (Göttingen. Online) (16.01.2023)
    “… datasets in such models remains challenging. Here, we present age2exhume, a thermal model in the form of a MATLAB or Python script, which can be used to rapidly obtain …”
    Volltext
    Journal Article
  20. 20

    PHOTONAI—A Python API for rapid machine learning model development von Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: San Francisco Public Library of Science 21.07.2021
    Veröffentlicht in PloS one (21.07.2021)
    “… PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development …”
    Volltext
    Journal Article